One must often showcase a specialized skill set through certifications to stay ahead of the curve in the dynamic realm of DevSecOps. Here is a guide to the most in-demand certifications that can not only strengthen your skills, but also open doors to exciting career opportunities.
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Certified DevSecOps Professional (CDP)
Firstly, the CDP certification is a comprehensive program covering key DevSecOps principles, automation, and security practices. It also validates your ability to integrate security into the entire software development lifecycle.
Benefits:Enhances your credibility as a well-rounded DevSecOps professional, showcasing your proficiency in securing applications from inception to deployment.
Then, offered by Amazon Web Services, this certification focuses on the integration of security practices into DevOps workflows within the AWS environment.
Benefits:Demonstrates your expertise in managing and implementing secure DevOps practices on the AWS platform, making you a valuable asset for organizations utilizing cloud services.
Certified Kubernetes Security Specialist (CKS)
Moreover, as Kubernetes becomes a staple in container orchestration, the CKS certification validates your knowledge of securing containerized applications in a Kubernetes environment.
Benefits:Positions you as a specialist in Kubernetes security, a critical skill as more organizations adopt containerization for their applications.
(ISC)² Certified Cloud Security Professional (CCSP)
While not DevSecOps-specific, the CCSP certification is highly relevant. This is because it focuses on cloud security, an essential aspect of securing modern DevOps pipelines.
Benefits: Establishes your expertise in cloud security, showcasing your ability to secure cloud environments integral to contemporary DevSecOps practices.
Docker Certified Security Associate (DCSA)
Last but not least, Docker is widely used in DevOps for containerization. Moreover, the DCSA certification focuses on securing Docker containers and the Docker Enterprise platform.
Benefits: Validates your proficiency in securing containerized applications using Docker, making you a sought-after candidate for organizations leveraging container technology.
Certainly, DevSecOps certifications have emerged as powerful catalysts, propelling individuals into the forefront of the evolving tech landscape. Beyond serving as mere credentials, these certifications act as gateways to enhanced skill sets, elevated credibility, and a world of opportunities.
In this exploration, we unravel the transformative impact of these certifications.
Enhanced Skill Set
Acquiring DevSecOps certifications is not just about adding acronyms to your resume; it’s a testament to your dedication to continuous learning and the mastery of cutting-edge practices. Also, these certifications equip you with in-depth knowledge, hands-on experience, and a skill set that evolves with the dynamic landscape of DevSecOps.
Credibility and Recognition
Certifications from reputable organizations serve as a badge of honor, elevating your professional credibility in the eyes of employers. Then, they provide tangible evidence of your proficiency in DevSecOps. This reassuring hiring managers that you possess a standardized level of expertise. Also, in a crowded job market, these certifications act as a recognized stamp of approval, instilling confidence in potential employers and reinforcing your position as a top-tier candidate.
Access to Opportunities
In addition, the demand for DevSecOps professionals is on the rise, and certified individuals are often at the top of recruiters’ lists. Many organizations actively seek candidates with recognized certifications, viewing them as ready-made contributors to their DevSecOps initiatives. By holding these credentials, you increase your visibility and desirability to employers.
Global Recognition
Also, DevSecOps certifications have global recognition, transcending geographical boundaries. This opens up opportunities to collaborate with diverse teams, contribute to international projects, and engage with a broad spectrum of professionals. Whether you aspire to work with Silicon Valley startups, European enterprises, or Asian tech giants, these certifications provide a universally understood language of expertise, facilitating your integration into global tech ecosystems.
Career Advancement
In an era where security is paramount in the development process, certified DevSecOps professionals stand out as leaders. These certifications serve as a springboard for career advancement. Propelling you into positions where you can influence and shape the security practices of entire DevSecOps teams. This contributing to the success and resilience of the organizations you serve.
In conclusion, investing in these certifications is not just about earning a credential; it’s about positioning yourself as a security-conscious, forward-thinking IT professional ready to meet the challenges of the evolving tech landscape. As you embark on this certification journey, remember that continuous learning is key to staying relevant and thriving in the exciting field of DevSecOps.
Dive into our latest infographic for an illuminating visual journey through the key statistics and benefits of adopting DevSecOps practices.
The tech industry is constantly evolving, and staying ahead of the game requires having the right in-demand tech skills in your arsenal.
In this article, we will explore the top 10 in-demand tech skills that will set you up for success.
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Top 10 In-Demand Tech Skills
From cutting-edge technologies like quantum computing to essential skills in data privacy. Let’s dive into the in-demand tech skills you need to thrive in the tech industry.
1 Mastering Quantum Computing
Quantum computing is revolutionizing the tech industry, and having expertise in this field it is highly valuable. Skills in quantum algorithms, programming languages, and circuit design are crucial. This because they help solving complex problems in areas like cryptography, drug discovery, and optimization.
Quantum algorithms are different from classical algorithms. Understanding their principles and applications is essential for leveraging the power of quantum computing. Additionally, proficiency in programming languages specific to quantum computing, such as Qiskit and Cirq, is in high demand. These languages allow developers to create and optimize quantum circuits, and they are critical for programming quantum computers.
Another in-demand skill in quantum computing is circuit design. Quantum circuits are the building blocks of quantum algorithms. Mastering circuit design techniques and tools are high demand. This is because businesses and governments seek to harness the full potential of quantum computing.
2 Immersive Experiences with AR/VR
Augmented Reality (AR) and Virtual Reality (VR) technologies are transforming industries like gaming, healthcare, and education. Having skills in AR/VR development, 3D modeling, and user experience (UX) design are in high demand. This because businesses seek to create immersive and interactive experiences for their customers.
AR and VR offer unique opportunities in industries like healthcare. There they are useful for training, simulations, and patient care. For example, AR can overlay virtual information onto real-world environments. Thus allowing surgeons to visualize complex procedures or medical professionals to provide remote assistance. VR can create realistic simulations for medical training, providing a safe and controlled environment for learning.
Then, in the education sector, AR and VR can revolutionize the way students learn by providing immersive and interactive experiences. Imagine exploring ancient civilizations through virtual field trips, or conducting virtual science experiments in a safe and controlled environment. The potential of AR and VR in enhancing learning experiences increases the demand for skilled professionals in AR/VR development, 3D modeling, and UX design.
The entertainment industry has also seen a significant impact from AR and VR technologies. VR gaming has gained traction, providing gamers with truly immersive and interactive experiences. Gaming for mobile apps use AI to allow players to interact with virtual objects in the real world.
Blockchain technologyis gaining traction across industries. Professionals with skills in blockchain development, smart contracts, and cryptography are a very profitable profile. As businesses explore the potential of blockchain for secure transactions, supply chain management, and digital identity verification, expertise in this field are invaluable.
In addition to the opportunities in blockchain development, there are also emerging roles in blockchain consulting, project management, and regulation. As governments and organizations grapple with the regulatory and legal implications of blockchain technology, professionals with an understanding of the technology and its potential impact can provide valuable guidance. Furthermore, blockchain is still a relatively new field. Ongoing research and development in areas such as scalability and interoperability will continue to create demand. As the use cases for blockchain technology continue to expand, blockchain professionals is among the growing in-demand tech skills.
4 Natural Language Processing (NLP) and Conversational AI
NLP and conversational AI technologies are driving advancements in chatbots, virtual assistants, and voice recognition systems. Skills in NLP, machine learning, and conversational AI development are in high demand as businesses look to create intelligent and interactive customer experiences.
The use of NLP and conversational AI technologies goes beyond customer service applications. There are many other use cases for these technologies, such as in healthcare, education, and finance. In healthcare, for example, conversational AI can collect patient data, provide medical advice, and even assist in surgical procedures. In education, NLP it can create personalized learning experiences for students. Then, in finance, conversational AI can provide investment advice or assist in fraud detection. As these technologies continue to evolve and improve, the potential applications are limitless. Creating new and exciting career opportunities for those with the necessary skills.
5 Essential Cybersecurity Skills
With the increasing number of cyber threats, cybersecurity skills will continue to be in high demand. Expertise in threat detection, incident response, risk management, and securing cloud and IoT environments are crucial. This is because businesses prioritize safeguarding their digital assets and data.
As the digital landscape continues to expand, cybersecurity threats are becoming more sophisticated and complex. In response, businesses are increasingly investing in cybersecurity measures to protect themselves from cyber attacks, data breaches, and other threats. This has created a need for cybersecurity professionals who can develop and implement effective security strategies, conduct thorough risk assessments, and respond quickly and efficiently to incidents. In addition, as more organizations move their operations to cloud and IoT environments, there is a growing demand for professionals who can secure these environments and protect against cyber threats. With the continued growth of the digital economy, cybersecurity skills will remain in high demand tech skills for the foreseeable future.
6 Securing Communication with Quantum Cryptography
The increasing development of quantum computing technology is leading to the emergence of quantum cryptography as a potential solution for secure communication. Skills in quantum cryptography algorithms, protocols, and key distribution are in high demand, as businesses and governments seek to safeguard their sensitive information from quantum-based attacks.
Moreover, the potential for quantum computing to perform complex calculations at unprecedented speeds is making it an area of growing interest and investment. This has resulted in a growing demand for professionals with expertise in various aspects of quantum computing, including software development, algorithm design, and hardware engineering. To stay ahead of the curve in this rapidly evolving field, professionals must develop new and innovative applications for quantum computing. Therefore, the demand for quantum computing and cryptography experts will continue to grow in the years to come.
7 Embracing Cloud-Native Development
Cloud-native development offers several advantages, including faster deployment times, improved scalability, and increased reliability. By leveraging containerization and microservices, cloud-native applications can be broken down into smaller, more manageable components that can be updated and deployed independently. This approach enables businesses to be more agile and responsive to changing market conditions, while also reducing costs and increasing efficiency.
As more businesses adopt cloud-native strategies, the demand for professionals with skills in cloud-native architecture, containerization, and microservices will increase. In addition, expertise in cloud-native technologies such as Kubernetes, Docker, and serverless computing are highly valued as these tools become essential components of the cloud-native stack. The market for cloud-native development skills is expected to remain strong.
With the increasing focus on data privacy regulations, professionals with skills in data privacy and compliance are in high demand. Expertise in data protection, privacy laws, and compliance frameworks is critical. As businesses strive to maintain compliance and protect sensitive information.
Data privacy and compliance professionals play a critical role in helping businesses navigate the complex landscape of data protection laws. General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), are examples of it. These professionals are responsible for developing and implementing data privacy policies, procedures, and best practices. This to ensure that data is collected, processed, and stored in compliance with applicable laws and regulations.
In addition, professionals in this field need to possess expertise in data protection techniques. Encryption, tokenization, and data masking are examples to ensure that sensitive information is adequately protected from unauthorized access and breaches.
Businesses are under pressure to comply with data privacy regulations to protect their customers’ privacy and maintain their trust. Non-compliance can result in significant financial penalties, reputational damage, and legal liabilities. Therefore, the demand for professionals with skills in data privacy and compliance will continue to rise in the future.
Edge computing is revolutionizing the way data is processed and analyzed in the era of the Internet of Things (IoT). Thus, businesses strive to capitalize on the benefits of processing data closer to the source for faster and more efficient operations.
Edge computing involves moving data processing and analytics closer to the devices or sensors that generate the data, instead of relying on centralized cloud servers. This approach reduces the latency or delay in processing data. Thus enabling real-time decision-making and faster response times. This is critical for applications that require quick and efficient data processing, such as autonomous vehicles, smart cities, and industrial automation.
Professionals with expertise in edge computing architecture have a high value. They are responsible for designing and implementing edge computing solutions that are scalable, secure, and efficient. This involves developing edge computing architectures that optimize data processing, storage, and networking capabilities at the edge. Moreover, integrating edge computing with cloud computing to create hybrid edge-cloud solutions.Professionals with expertise in edge computing architecture have a high value.Professionals with skills in edge computing architecture are highly sought after. They are responsible for designing and implementing edge computing solutions that are scalable, secure, and efficient. This involves developing edge computing architectures that optimize data processing, storage, and networking capabilities at the edge. Moreover, integrating edge computing with cloud computing to create hybrid edge-cloud solutions.
10 Natural Language Processing (NLP) and Conversational AI
Natural Language Processing (NLP) and Conversational AI are rapidly transforming the way businesses interact with their customers. Skills in NLP and conversational AI development are in high demand as businesses seek to create intelligent and interactive customer experiences. This through natural language interfaces, personalized recommendations, and sentiment analysis for improved customer engagement.
NLP is a field of artificial intelligence (AI) that focuses on enabling machines to understand, interpret, and respond to human language. Skills in NLP involve techniques such as text analysis, sentiment analysis, entity recognition, and language generation. These skills are essential to develop chatbots, virtual assistants, and voice recognition systems to provide personalized and intuitive interactions with customers.
Conversational AI, on the other hand, involves the development of AI-powered systems that can carry out conversations with users in a manner that mimics human-like conversations. This includes techniques such as natural language understanding (NLU), dialogue management, and natural language generation (NLG). Skills in conversational AI development are crucial for businesses looking to create sophisticated chatbots. Also, virtual assistants, and voice-based customer service systems that can understand and respond to user queries. They can also provide recommendations, and engage in interactive conversations.
Machine learning also plays a significant role in NLP and conversational AI. Skills in machine learning, including supervised and unsupervised learning, deep learning, and reinforcement learning, are vital for building effective NLP and conversational AI models. Machine learning algorithms can be used to train NLP models for tasks such as sentiment analysis, entity recognition, and language generation, and to train conversational AI models to learn from user interactions and improve their responses over time.
Conclusion
In conclusion, the technology sector is evolving at an incredible pace, and staying abreast of the latest technology skills required is essential for professionals who want to stand out.
Mastering Quantum Computing is critical for professionals looking to leverage the power of quantum mechanics for solving complex problems in various domains. AR/VR Development skills are in high demand as businesses seek to create immersive and interactive experiences in gaming, healthcare, and education. Data Privacy and Compliance expertise is crucial to navigate the increasing focus on data privacy regulations and protect sensitive information. Edge Computing skills is in high demand as businesses adopt strategies to process data in real-time, making it ideal for IoT applications. Lastly, NLP and Conversational AI skills is pivotal in creating intelligent and interactive customer experiences through natural language interfaces, personalized recommendations, and sentiment analysis.
As the tech landscape continues to evolve, professionals with these in-demand tech skills are and are highly sought after. Embracing these in-demand tech skills will open up new opportunities, enhance career prospects, and contribute to the exciting advancements in the tech industry.
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A Career in Data Science: Unlocking The Power of Data with AI
We chat with Ton Badal, machine learning engineer at London-based DataOps start-up Synthesized; about pursuing a career in data science and the challenges of working with data.
How did you get started in tech, what made you go for data science career and machine learning in particular?
Since school, I have had an engineering mentality, I’ve always had this problem-solving way of thinking. I’ve always enjoyed math and solving problems. In university, I studied telecommunications engineering and specialised in audiovisual systems, so the processing of audio, images, video and other audiovisual systems from a technical perspective.
There I started doing research in machine learning, AI and data science. I started discovering this super interesting world. After that, I was sure that I wanted to do a data science career. So I went for a master’s in AI. And that’s how I discovered this very, very interesting and challenging world.
What did you find to be the most challenging part of this process of learning data science as career and becoming a machine learning engineer?
When I started university, it was not a clear path yet. Eighteen or fifteen years ago, you couldn’t see the path of a data scientist from start to end. Data science sits between computer science and math. And, throughout my career, I’ve been closer to computer science than to math. But the challenge is that you have to know as much as possible from both worlds. But at the same time combine them as well as possible. So I think it’s been quite challenging to be able to unify both worlds.
What’s the best career advice you have ever been given?
This is not really a piece of advice that someone has given me, but rather something that I’ve seen people do. I’ve realised that, when I was starting to look for jobs and was looking for a career, I was kind of looking for anything. I felt like I was the only one selling myself. But at some point, you realise that it’s important that the company also sells itself to you. The company also has to be interested in the person who’s applying. It’s not just top-down, but also bottom-up. There has to be this mutual understanding. When I started looking for jobs, I didn’t care that much about that. But after a while, I realised that it’s really important to feel confident and be in a good environment. It’s crucial for your career development and for example a data science career.
So, I would recommend to everyone to not just get the first job and be very selective about what they want and what they seek to accomplish. Also, the people who interview you: you have to look at them and ask as many questions as you can about the company. It’s not only about selling yourself, but also about understanding the company and making sure that the step you’re going to take is the best one for you because that’s going to influence the rest of your career.
What’s your advice for those who want to learn data science?
If you want to learn something, the best way to learn it is to get hands-on, to find a project that you’re interested in. There are a lot of open source projects that require some help. For example, at Synthesized, we’re now going to open source a fairness package. If you’re interested in this field, you can collaborate on many, many different projects. The best way to learn computer science and data science is to get a project, get a data set. Sign up for a Kaggle Competition, for example, and try to solve it and get as close as you can to the top of the ranking.
What are the biggest issues with working with data these days?
First of all, there is the problem of ending up with a poor signal-to-noise ratio. The amount of data that you can find nowadays is huge. But, many times, this data contains a lot of noise. And, if you are not careful, you are just going to end up with just a lot of noise that renders it useless.
The second big issue is compliance, so GDPR, HIPAA, etc. If you have data that is not privacy-compliant or that is discriminating against some groups, that’s going to be not only useless, but it’s also going to be illegal to use. So you need to work closely with compliance teams. You need to spend time with the legal team to make sure that you make proper use of your data.
Finally, there’s the problem of data sets becoming data silos. More and more, to access data, you need a data engineer, a data scientist or a machine learning engineer — someone who can do the magic with the data. It’s getting more and more complex to access the data because doing so requires the knowledge of a data engineer or a test engineer.
How is Synthesized helping to solve these problems?
Synthesized has a core engine that is able to solve these problems by enabling users to easily access their data products in many different ways. So, for example, let’s take one of the problems that I was mentioning before: working with compliance and privacy. Our engine is able to generate data that is representative of the original data but is free from privacy issues and from even biases.
Another of the problems is related to infrastructure, to data silos. Current approaches are data warehouses and data lakes. There are some problems with these approaches, for example, the signal-to-noise ratio in the case of data lakes. There’s a lot of data in there, but it’s very difficult to use. But, the infrastructure problem is also there because the data is very centralised and you need a data engineering team to get to it. So what we’re working on is a new infrastructure called data mesh that aims to decentralise data access. It tries to decentralise all these data products so that each team can access the data independently. Both for internal and for external collaboration.
Can you tell us a bit more about your role at the company?
I’m very lucky to have been a very early employee of the company. I joined at a very early stage, and this meant that, although my official title is machine learning engineer, I’ve been able to touch a bit of everything.
However, my main role as a machine learning engineer is making sure that the core technology is as good as possible. But that also involves a lot of what a pre-sales person would do. So, going to the clients, asking them for requirements, and making sure that the product works well for them and is as tailored as possible to their requirements. But about also improving the product.
And there is also some marketing work involved, like developer relationships. We need to push into that direction because we’re a small company with very new technology and we need to make sure that we sell bottom-up, not top-to-bottom. We approach customers as machine learning engineers, as the nerds who sell to other developers, not as the marketing guys who are trying to sell something to them. Otherwise,+j the message doesn’t get through that well.
What’s next for data? Where do you see data science in, let’s say, five years from now?
I think that, right now, we’re in a very crucial moment for data. We are having all these privacy issues, fairness problems, and the users are more and more aware of this. So, we have to make sure that we have the best practices in place, that we make the best that we can with our data but still respect users. It’s going to be a very challenging time.
At Synthesize, we mainly work with structured data, but I think it’s worth mentioning unstructured data. What’s happening with OpenAI, GPT-3 or other generative models — what’s being done is amazing. It’s a very exciting time. I’m very, very excited to see what the next new thing is going to be.
You’ve been based in London for a while. What do you like the most about the London tech scene?
What I like the most about it is that there are a lot of people working on the same topic, and you can very easily meet people doing really interesting things. And that’s one of the most powerful things when you are doing research or trying to improve your product. Just talking to people, understanding their problems and just having a conversation about something that probably you don’t understand and you don’t even know about.
Discussing new tech trends with people at other companies, that can really help. You discover new things and go out of your usual boundaries. London is great for that because there are a lot of meetups. Well, there were before corona. But yeah, you can talk to and meet a lot of people. There’s this big ecosystem where a lot of things are happening and there’s so much to learn. I’m really happy to be living here.
How the Covid-19 Pandemic is Accelerating the hybridisation of Careers in Tech & IT
The current health and economic crisis is generating profound changes in careers and recruitment within companies. And especially within tech & IT departments. Manuela Delfort-Garampon, co-founder of Mindquest and Club Freelance, sees both a rise in freelancing and a comeback of permanent contracts. Two trends which may seem contradictory but which in reality testify to a convergence of the two forms of employment. The pandemic is causing a hybridisation of tech.
Pandemic hybridisation tech – Crisis-proof agility: the confirmation of the freelancing model
The common denominator in all crises is urgency. With the Covid-19 pandemic, companies have had to reorganise under unprecedented pressure. In this context, many organisations called on freelancers and external experts; a phenomenon far from being new in the IT field. But which has intensified in certain industries essential to business continuity.
Specifically: the urgent deployment of tools that are essential to the implementation of teleworking has generated a wave of requests for network and support consultants, cloud, VPN, and cybersecurity experts of all kinds. Some IT departments have also resorted to freelancing to compensate for the recruitments that were already planned.
At the same time, some candidates and IT professionals have made a choice in this period of crisis to turn to freelancing opportunistically. Both to stay active and to position themselves on high added value missions that help companies quickly deploy critical solutions.
While the flexibility of the freelancing model has long appealed to companies and applicants alike. The agility it provides has made it an obvious solution to the current situation. But that’s not the only trend regarding careers transformation in the tech world.
Consolidation for tomorrow: the return of the permanent contract
Beyond the emergency, many companies see the current crisis as an opportunity to get ahead and differentiate themselves. Many paused their recruitment efforts during the first lockdown, but most have resumed – or even accelerated – their search since September.
Why? Quite simply because in times of crisis, the best talent is more essential than ever in an IT team. Hence the need to attract and retain top performers that sustain strong teams. The war for talent has intensified around these key profiles. Which companies are tearing off and now want to “secure” under permanent contracts.
At the same time, the permanent contract has made a comeback in the hearts of many candidates and tech & IT professionals; even among some who previously swore only by freelancing. A certain number of freelancers have chosen to go (or go back) to salaried employment, in order to (re) find greater stability in these times of crisis.
Resorting to the freelance model, although it has grown in importance with the crisis, does not however supplant the permanent contract model. In fact, the two statuses coexist now more than ever.
Pandemic hybridisation tech, towards the end of the silos between statuses?
In terms of professional careers, the last few decades have seen many silos gradually fall. For a long time, the norm was to do the same job in the same company throughout one’s life. Then careers began to be built across several companies. For the past twenty years or so, it has been common practice to have several different jobs during a professional career, and sometimes to retrain or reskill completely. Today, there is also the alternation and combination of statuses, with an increasingly porous border between permanent contracts and the self-employed status.
In fact, this trend of hybridising careers in the world of technology and IT did not originate from the pandemic. The motivations for moving from one status to another can be multiple and independent of the current crisis. Example: many freelancers decide to (re) switch to permanent contracts to access management positions. But the current pandemic is greatly accelerating the phenomenon.
Status doesn’t matter as much as it used to. For companies, the challenge now is to attract the best talent, whether they are on permanent or freelance contracts, to accelerate their IT projects. For professionals open to new opportunities, what matters is more the interest in the project and the technical stack, as well as the dynamics of the team. Status is no longer an end in itself.
Continuing education is key to your professional development as a technology expert. But what are the most popular IT certifications amongst employers?
Embracing continuing education is key to your professional development as a technology expert. And beyond what you can learn on your own or through experience, official certifications are a great way to validate your newly gained expertise in front of the industry. But what are the most popular IT certifications amongst employers?
Given how fast new technical roles are being created and traditional ones are branching out. This can be a quite daunting question to answer. In fact, as any seasoned IT specialist will tell you, there is no simple, straight answer to this problem. It all depends on what you need the certification for.
Here are some pointers to help you navigate the increasingly complex certifications ecosystem.
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General-purpose certifications
Often regarded as the first step towards pursuing a career in technology, general-purpose certifications are amongst the most popular IT certifications. From networking to repairs or system configuration; they touch on a broad variety of topics without getting into much depth in any of them. Not surprisingly they are frequently compared to a driving license. These certifications, such as CompTIA’s A+, are an effective way to learn the fundamentals of computing and establish a solid foundation for your career.
But they can also be helpful for more seasoned professionals who want to transition from a functional role to a more technical one. The growing need for Agile and Scrum methodologies, which tend to encompass a more generalist set of skills. Is another example of how general-purpose diplomas can help advance your career.
Role-specific certifications
However, as it happens with most things in our society; the most popular IT certificates tend to favour specialisation rather than a holistic approach. Role-based educational programs have gained so much popularity in recent years. That industry giants like Microsoft have rebuilt their entire training catalogues to accommodate the various career paths within their ecosystem.
Specialised certifications are most often divided by level of experience. That makes them a great resource for specialists seeking to advance their career from the associate-level to other; more senior positions within their speciality.
The most in-demand specialist certifications
☁️Cloud and security badges
Some of the fastest-growing role-based certifications are those that have to do with the cloud. Digital transformation is accentuating the talent gap for cloud skills, and official certifications can help bridge it. The most popular certifications within this ecosystem include the AWS Certified Solutions Architect diploma and the Microsoft Azure Solutions Architect badge.
Virtually the same thing is happening with security certifications. The sweet spot lies where the two fields meet. Getting certified in cloud security is certainly a winning proposition when it comes to employability and salary expectations.
🛠️ERP and CRM training
Another area in which role-centric certifications tend to deliver a solid return on investment is that of enterprise resource planning (ERP) and customer relationship management (CRM) software. With even more adoption than cloud, most medium-to-large-sized businesses today employ these systems to coordinate operations across departments and keep track of clients and sales.
Whether it is in finance or supply chain management, companies need experts who can set up the environment and maintain it. Getting SAP certified, for example, will open the doors for you to thousands of lucrative and exciting career opportunities.
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Continuing IT education is everything, and you should keep that in mind throughout your entire professional career to make the most of it
IT experts know this well; no matter how unattainable a technology or problem can seem at first glance; things look much prettier once you are out of the woods and the project is over. And that is because one thing has changed: you. Now you have the experience, the knowledge. You have learnt something. Continuing IT education is everything, and it should keep on being exactly that for your entire life.
Especially in the world of technology, where the difference between the good and the great often comes down to the ability to adapt to the ever-changing nature of information systems. But do not forget you can learn many other non-IT-related topics that will also help you a great deal throughout your career.
Continuing IT education: Skills obsolescence
Renew or die is a motto that can be applied to many things in this world. IT careers are no exception. One unfortunate side effect of digital transformation is the rapid rate at which the value of one’s current skills declines.
One day, your resume has everything top employers seem to be looking for on it, the next, you are scrolling through Internet forums trying to figure out what language or framework you should master in order to get that promotion you feel you deserve. Whether it is Python, Docker or cloud security skills, keeping an eye on the top tech skills of the moment is a bullet-proof plan against skills obsolescence.
But an on-going approach to education has other benefits too. Countering the tedious effects of devoting too much of one’s time to a single activity or line of focus is one of them. We have all experienced that imaginary brick wall that rises in between us and our goals when we have been doing the same thing for too long.
Forcing yourself to step out of your comfort zone and learn something new will solve that problem. It will give you an energy boost and a renewed sense of purpose. Do not ever underestimate what a properly motivated mind can achieve.
Becoming a better professional
Thirdly, educating yourself can have a very positive effect on your current performance and capabilities. Whether it is something directly related to your line of work or something as detached as Middle Eastern history, there is always room to connect what you learn to your present endeavours.
Serendipity, or finding value in things you were not originally looking for, is a marvellous phenomenon. Capitalise on it to connect the dots and bring new perspectives into your everyday activity. Become a better professional by becoming a more knowledgeable person.
Continuing IT education: Mentoring
Finally, a life-long educational spirit will also make you, incidentally, a better teacher. The more you understand what someone learning something new needs of in terms of direction and resources, the better mentor and manager you will become. The best teachers tend to be great students.
That’s not to say you will naturally develop excellent teaching abilities without no effort on your part. Mastery requires experience. But you will, however, develop a certain sensibility and empathy that will make you a much more effective communicator and educator.
Why and how should you pursue SAP and SAP S/4HANA certifications? Hear it from Denys van Kempen,Technology Expert at SAP focusing on SAP HANA and Analytics.
Why and how should you pursue SAP and SAP S/4HANA certifications?
Denys van Kempen is Technology Expert at SAP focusing on SAP HANA and Analytics. He has been at SAP for more than 10 years, where he helps SAP’s Global Partner Organisation support and educate partners about the company’s technology. Denys is a true SAP advocate, blogging extensively and managing content for the SAP HANA Academy.
How did you get started in your career, what do you do at SAP?
It’s funny that you
ask, because, out of curiosity, I recently picked up a starter certification
for Azure fundamentals. I just did the exam and was happy to pass. And it was curious,
because, when I looked at the transcript where it lists all the certifications
that you’ve done in the past, I saw how I had started out in IT almost 25 years,
and my first certificate was in Windows 95, doing the networking.
One of the most fun parts of the whole software industry and the whole community around it, is that it is constantly changing, and the only thing required is a willingness to learn. If you are interested in studying, you can work in IT. That’s the main qualification you need, as far as I am concerned.
I am now in my early 50s, I speak to a lot of people, and people have very, very different backgrounds. But I would say that is the most essential qualification. Today we are looking at the cloud platforms, yesterday it was blockchain and then it was big data. The only thing you know is next year it’s going to be something different, and we have to take out our books and study the topic.
Why should SAP experts pursue certifications?
I think there are basically two camps. There are people who enjoy learning new things, who maybe even enjoy the challenge of sitting an exam and hopefully pass. And then there is the group who thinks they have a lot of experience already and don’t really need to answer silly questions. I think there’s value in both arguments.
I’ve seen very good exams. But there are also examples of exams where you have to provide answers to questions nobody would know by heart. The certifications that aim for experience and how you solve things are better examples than just those who ask you to memorise things. And I think most vendors try to get that.
Getting a
certification is a great way to make sure you study all the aspects of a
certain technology, because typically you work with the most common things, but,
if you study the topic, you have an opportunity to learn things that are more
obscure, less well-known. For your own benefit, getting certified gives you the
confidence that you know the product inside out. It’s a great way to solidify
your knowledge.
Are you seeing a particular branch of SAP and SAP S/4HANA certifications that is on the rise these days?
Two years ago, SAP
made the strategic decision to go cloud-first in all the development. More
recently, that decision was accelerated. Everything is going cloud these days.
I think you have that
same effect on certifications. There are not really that many people today who
pursue a certification for only on-premise software. It doesn’t matter which
vendor, everything is going cloud. That would be my advice: if you learn
something new, make sure it runs on the cloud. That’s where the future is.
When it comes to cloud, you can work on software that runs on the cloud, or you can help set up and maintain the infrastructure, the internal plumbing. Would that be a good career move for someone that’s just starting within the cloud ecosystem?
That’s a good question.
SAP systems can be very complex, and you have these very large companies, like
big food manufacturers or big banks, whose SAP landscapes are huge. There are a
lot of functional people, of course, involved in making sure everything works,
but also technical people, doing the networking, the backups, etc. And moving
all those landscapes onto the cloud is a major shift of focus.
A question I get from time to time is one from people who have been working as Basis Administrators. They wonder what their role will become with everything going to the cloud. If you’ve been working with backups and things like that, that’s no longer a concern for the customer, because it’s being taken care of by the cloud provider. So, you see that shift.
A lot of the technology is now on the cloud, and no longer on the side of the software vendor. So that would definitely be something to look at. If you have a strong technical interest, you’ll have to study how to work with those cloud providers. Configuration and security, for example, they remain very important, but it’s a different role from the traditional one.
How people make their certification journey easier for themselves?
I would try to stick
as close as possible to the information the vendor provides. Most of it is
freely available or at a very low cost. The thing is that there are just so
many materials out there that you end up going from one rabbit hole to another
and lose focus. If you just stick with the course manual, you’ll be able to
have a quick preparation for the exam, but if you get side-tracked, you search
for exam dumps and study the wrong answers… well, I would certainly not
recommend that.
Also, don’t make it a
project that lasts too long. It’s either going to be 6 or 8 weeks, but make it
something for which you are going to study frequently, even if it’s half an
hour every day. Just come half an hour earlier to work and spend that half-hour
when you are still fresh working on that. That’s far more reachable than if
it’s going to be a 5-month project and every weekend once in a while you try to
cram it all in.
How about the books you publish through the SAP Press?
Well, that’s a bit of
a different story. For example, if you look at Azure or Google Cloud, they
provide a lot of information for free or at a relatively low cost. It’s up on
Coursera or EdX, and for 50 euros you can study for a month and that’s all you
need. That’s a very reasonable amount of money to invest in your career.
Unfortunately, for some SAP and SAP S/4HANA certifications, you have to go through training, and that training can be quite pricey. If you’re self-employed, you might not have the budget. In those situations, an exam guide might be of help. In addition, the course manuals are written to support the course, so they are always challenging. We write these books specifically to help you pass the exam.
Want to make the most of S/4HANA’s career potential? Check out our comprehensive S/4HANA Careers Guide.
SAP’s Learning Hub, for which you can request a free trial, should be your go-to place for official learning resources and documentation.
Working Amidst On-And-Off Lockdowns. We’ve outlined for you all the key aspects you should cover to find the perfect daily work routine.
Working Amidst On-And-Off Lockdowns. If you live somewhere on planet Earth, chances are you are currently experiencing at least some level of confusion thanks to the constantly changing public guidelines and workplace arrangements. The evolving pandemic has us all struggling to keep up with daily news and company memos, our already-busy minds now having to shift from tracking soaring infection rates to figuring out when exactly this week’s curfew kicks in.
Amidst this apparent chaos, it can be challenging to
find balance in both your personal and professional lives – and also in between
them. Days at a half-empty office merge with fully remote ones at a
way-too-small flat you share with other people.
Establishing a stable and effective work routine is
not easy in this context. And, since we know that working in IT is hard enough
for you to be investing too much time into figuring this whole thing out, we’ve
outlined for you all the key aspects you should cover to find the perfect daily
work routine.
Working Amidst On-And-Off Lockdowns? The right remote work formula
Each one of us beats at a different rhythm, and it´s
not always an easily identifiable one. Unless you’ve tried all possible work
schedule arrangements since the start of the pandemic, you’ll probably need to
do some more experimentation to find the right one for you. That is, of course,
if your current job allows for that level of flexibility.
Some companies are operating fully remote until
further notice, while others combine on-premises and remote work or let their
employees make the choice. If you are a freelance consultant or external
contractor, you are probably used to working remotely, but maybe you do so at a
co-working space or are thinking of trying one after being stuck at home for
too long.
Just make sure you find the combination works best for you.
Once you’ve got your weekly schedule figured out, it’s
time to focus on your home workspace. We all need our little bubble to be able
to concentrate on our to-do list and work more efficiently. Working at home
complicates that if you share it with other people.
Maybe you find yourself having to alternate replying
to work emails with watching over the kids. Or perhaps you only have one spare
bedroom in your apartment and there’s two or more of you working from home. At
another time, you’d go to the corner cafe and find some focus in the soft
background chatter of random phone calls and clinking cookware. Now there’s not
much escape.
Whatever your situation, it is vital that you claim
your own space within the house or flat. Whether it is a corner of the living
room or a make-up desktop you’ve built out of spare pieces of furniture, you
need to delimitate a space exclusively devoted to working. The couch, of
course, should be out of the question.
Proper use of white noise and music apps can also help
you focus and create that bubble.
The proper toolset
Having a good place to work won’t make much of a difference if you don’t have the right tools. In the back-and-forth context of on-and-off remote work, such tools are those that allow you to work seamlessly across locations and coordinate with your colleagues and clients. In other words: cloud-based collaboration solutions and organisational tools.
These apply to both universal organisational tools
like calendars and project tracking apps, to those targeted to IT professionals
like yourself. From ERP cloud solutions to ticketing and integrated software
development cloud tools, these can have a great positive impact on
productivity, especially when adopted by the whole team or company.
Catching a break
How and when you take breaks is one of the key factors impacting productivity. Some people prefer working for long stretches of time and taking a couple of long breaks a day; others alternate shorter, high-intensity stretches of work with more frequent, shorter breaks – a strategy made popular by the Pomodoro method. Find the formula that works best for you and never neglect breaks no matter how busy you are. A rested mind is a more productive and focused one.
And, since catching a real break can be a bit not
quite effective when you spend the whole day between the same four walls, try
being more flexible with what a break means to you. Exercise could make for a
very good break, so could a quick video game match. Some experts have even
started recommended going out on a fake commute even if we are working from
home. Going on a walk before starting your day and right after business closes
can apparently be very beneficial.
Nurturing you relationships when you are working Amidst On-And-Off Lockdowns
We are social animals, and the intermittent lockdowns
are making it harder for us to nurture our existing connections and developing
new ones. When it comes to work, and beyond satisfying our need for
socialising, developing solid relationships with colleagues and clients goes a
long way to making work easier, better and faster.
Being negated the opportunity to chit-chat by the
water cooler or go out for an after-work drink, you’ll need to be more
proactive to ensure you are not neglecting the social aspects of your
professional activity. Schedule frequent video calls to get that much-needed
face-to-face time with peers and clients. Reach out more than you would
normally do to cancel out the downsides of isolation.
As an IT expert, you must always keep your eyes peeled for the new top IT skills that will help you stay relevant and advance your career.
It’s renew or die in the world of technology. As an IT expert, you must always keep your eyes peeled for the new top IT skills that will help you stay relevant and advance your career. But the constant evolution of IT tools and the shifting business climate brought about by the pandemic can make it difficult. For example to decide where to focus your upskilling efforts in the year ahead.
So, where to begin? This list is a good starting point for anyone looking to strengthen their CV/resume or redirect their career.
Top IT skills:
Python: Unmatched Versatility and Popularity
Python continues to dominate the programming language landscape, solidifying its position as a must-have skill for IT professionals. With roots dating back to the late 1980s, Python has evolved into the leading language, especially in the developer community. Its applications in data science and machine learning make it indispensable, while its clean syntax remains appealing to coders.
Structured Query
Language (SQL) is a domain-specific language for handling data stored in a
relational database management system – a database structured in rows and
columns in which all data points are related to one another.
Developers and database administrators use the language’s code to perform actions such as inserting, retrieving and deleting data. Thanks to its database structure, SQL also allows for quick data processing and is used by some of the most popular database management systems, like Oracle’s MySQL or Microsoft’s SQL Server.
Java: A Quarter-Century of Relevance
Celebrating its 25th anniversary, Java remains a powerhouse among programming languages. Renowned for its “write once, run anywhere” portability, Java retains its position as one of the top three most popular languages. Its vast ecosystem, ranging from the Spring Framework to enterprise application servers, underscores its adaptability and continual relevance. Regular updates and refinements further emphasize Java’s commitment to staying cutting-edge.
Cloud Computing with AWS and Microsoft Azure: Navigating the Sky
In the post-COVID business world, cloud computing has become more critical than ever. Amazon Web Services (AWS) continues to lead the cloud platform space, with Microsoft Azure as a formidable competitor. Proficiency in either of these platforms enhances career prospects significantly. Whether it’s AWS’s established position or Azure’s rapid strides, having cloud expertise is a valuable asset in today’s tech landscape.
Would you like to know about life in the cloud? Check out our Microsoft Azure career overview and discover all the paths you could take.
Docker: Containerization for Modern Development
Lat but not least, Containerization, with Docker at the forefront, has become essential for future-oriented developers and IT teams. The benefits of scalability, rapid deployment, and enhanced security make Docker a vital skill. Containers enable the creation and deployment of applications in self-contained units, providing efficiency and bug-free operation across diverse computing environments. Understanding Docker’s capabilities is crucial for staying at the cutting edge of modern development practices.
We’ve narrowed it down to 3 key areas you should focus on if you want the year ahead to be as successful as possible and get 2021 right.
Thumbs up: you’ve made it past one of the most infamous years in recent history. Hopefully, you’ve had some time to unwind over the holidays. Ideally, you’ve used some of that time to reflect on your professional trajectory and get ready for 2021. Most likely, you’ve simply been too busy enjoying your seasonal favourites to start working on that just yet. No worries. We’ve narrowed it down to 3 key areas you should focus on if you want the year ahead to be as successful as possible and get 2021 right.
Get 2021 right: Adapting to evolving market demands
Technology
is constantly evolving, creating new market niches and specialisations and transforming
existing job functions. The pandemic has added an extra degree of uncertainty
and change into the mix, making it more vital than ever to futureproof your
career strategy through reskilling and upskilling. How to go about it is not too
much of a secret: inform yourself, define realistic goals and learn whatever
you need to achieve them.
Ask yourself whether or not you are doing enough to stay up-to-date with current technology trends. Follow the trade press and sign-up to newsletters that are exclusively dedicated to IT careers. Then reconcile emerging market needs with your own professional profile and aspirations, identifying those hot skills you should be acquiring over the next few months to remain competitive.
Current most in-demand skills include artificial intelligence, cloud and cybersecurity. But don’t forget to develop other, softer skills like business acumen or organisational capabilities. They can well make the difference between aspiring to a great versus a good job.
Remote work: Finding the
sweet spot
At this
point, it has become clear that not only the current remote work situation is
going to last for several more months, but that traditional, on-site
presenteeism is forever gone. No news here, right? So what about it?
Well, as
much as you might think you’ve got the whole working-from-home predicament
sorted out, this should be the year to fine-tune your work routine and to find
that sweet spot that works just perfectly for you. Perhaps it is 3 days at home
and 2 at the office, or maybe you find it easier to always work from home. Perhaps
you’d rather just go into the office once a week for team meetings or to
socialise with colleagues.
If your
current employer or portfolio of clients allows for that level of flexibility,
take advantage of it and put together your own work schedule. Look to see what
you could improve on regarding your daily routine. Experiment with how often
you take breaks and how long these are.
Polishing your professional image
Finally, to get 2021 right, make sure you are paying enough attention to the image you project as an IT professional. and keep in mind that your social media presence, your CV and your professional networking activity all have an impact on said image. And all these moving parts need to be in sync. Not saying that you need to become an influencer in 2021, but chances are that your online image can use a little polish.
But, besides improving your online visibility and making sure you present a cohesive image, you should be thinking of how you position yourself as a pro from a strategic standpoint. Keeping up with the times by reskilling and adding new capabilities is not as effective if you are not marketing it accordingly to any future employers and partners.
