Sie sind Data Engineer. Wie können Sie über die neuesten Trends auf dem Laufenden bleiben?

Identify influential figures in the data engineering community and follow them on social media platforms like Twitter, LinkedIn, and GitHub. Thought leaders often share valuable insights, articles, and updates about emerging trends in the field. Some thought leaders I follow are Darshil Parmer and Seattle Data Guy

I suggest Communities and Content Hubs such as: -Towards Data Science: Offers a mix of content more skewed towards data science but includes valuable engineering insights. -Analytics Vidhya: A platform dedicated to analytics learning, offering a variety of data-related topics. -KD Nuggets: Known for data science, analytics, and AI content, offering original research and in-depth articles.

I personally like Gartner. The magic quadrant and the hype cycle are my tools of choice. The hype cycle, in particular, gives an indication of emerging technologies that have not yet reached maturity.

As a data engineer, staying updated with the latest trends is crucial for keeping my skills sharp and staying relevant in the field. I like to keep things interesting by regularly browsing through data engineering blogs, forums, and newsletters like Towards Data Science or KDnuggets. I also enjoy participating in online communities like Reddit's r/dataengineering and attending conferences or webinars whenever I can. Playing around with new tools and technologies through personal projects keeps things hands-on and helps me stay ahead of the curve. Plus, networking with fellow data engineers and mentors gives me valuable insights and connections to stay in the loop.

Online resources such as blogs, forums, and newsletters are gold mines for the latest trends, tools, and technologies in data engineering. Websites like Towards Data Science, KDnuggets, and Data Engineering Weekly offer valuable insights. Subscribing to specific topic feeds on Medium or following thought leaders on LinkedIn can also keep you updated. Personal experience: Setting aside a dedicated time each week to go through these resources has helped me spot trends early and apply some of these learnings to my projects.

To keep abreast of advancements in my field, I regularly read blogs and newsletters from Industry leaders. I actively participate in relevant discussions on Reddit's DE forum to gain insights and exchange knowledge. Additionally I undertake small personal projects to explore new technologies, enabling me to comprehend their capabilities and limitations. This approach ensures I stay informed and equipped with the latest industry trends and innovations.

I like DataTalks.Club. It offers a Slack community, podcasts, and even a free 4-week Data Engineering bootcamp, making it beginner-friendly and a great place to up-skill

Além dos materiais e cursos on line uma outra forma de aprendizado e a participação de comunidades, sejam gratuitas ou pagas ( geralmente por assinatura ), pois ali se discutem de forma mais profunda o uso das ferramentas podem ser compartilhar cases e as ferramentas mais modernas do mercado bem como seu uso prático, geralmente contribuem não só com o aprendizado como com a prática ajudando na correção de erros e desenvolvimento de projetos pessoais.

Joining communities and networks help you to stay updated on latest on-going trends in any industries. I personally like discord because of huge community where each one exchange knowledge and where we also make good network. LinkedIn is also helping to gain insight on latest trends by making network where each individual can easily exchange knowledge globally. Again I will say if you have learning attitude you will easily find the way to learn. Keep Learning!

Joining groups networks online all around like through LinkedIn, telegram, Facebook and others helps knowing about the flow of tech. Group contains all age and experience group people who can help give you wide perspective of what step you should take and decide best to your benefit

Depois de aprender através de conteúdos on line ou de comunidades uma excelente forma de se manter atualizado é a prática, meter a mão na massa e desenvolver seu projeto para uso, seja pessoal ou no trabalho, isso ajuda no processo de aprendizado e na fixação de como uma nova ferramenta pode ser utilizada.

Practical knowledge is far better than theoretical knowledge. And personal projects helps gain so much confidence is that it cannot be explained with words. Working on realtime scenarios with proper designing to CICD implementation gives you a belief that you can easily crack the interviews and now have whole end to end knowledge of the project.

Research papers such as arXiv are perfect for uncovering the latest in cutting-edge research. The book "Fundamentals of Data Engineering" serves as a comprehensive guide, laying down the foundational knowledge required in the field. Personal experience: Committing to read a chapter of the "Fundamentals of Data Engineering" each week has significantly enhanced my grasp of the core principles. This practice has encouraged me to critically evaluate scalability and efficiency from fresh perspectives, enriching my approach to tackling data engineering challenges.

I usually follow medium for all my learning and this platform is all about people research and their way of tackling the real world data problems. I find it too useful and will recommend people to follow the same. It really enhanced my way of analysing things and how should I take step for which scenarios I am getting stuck with.

One of the best way to be on top of any fields. Unless and until you don't get feedback how would you know whether you have acquire a concrete knowledge or not. I personally seek feedback and mentorship from my seniors and leadership, because it helps a lot to keep me motivated to learn and grow. There is nothing wrong to get feedback from seniors, at the end it will only help you to improve yourself. Also mentoring will again help you to sharp your knowledge, so whatever concrete knowledge we have we can help someone so sharing your knowledge will accelerate your learning process. Don't hesitate to ask feedback. Keep Learning!

Feedback from peers and guidance from more experienced mentors are invaluable. Don’t hesitate to ask for feedback on your projects or approaches.

Teach others, mentor people with skills you might have that they might not have yet. Teaching and mentoring others is a fast way to grow yourself.

Getting feedback from some legit person is always a blessing. They show you the mirror of your skills and how much you are in water. Sometimes it really affects people in positive way and boosts them to outperform others. It’s a solid way of self reflection and a great tool to self analyse on where you stand. On the basis of feedback people can decide what best approach they can take to solve their issues.

In one word, JUST Keep Learning. Contributing to or following relevant open-source projects can offer learning opportunities and insights into industry standards and emerging trends. Participate in the discussions on the tools and framework's community page you use. Familiarizing yourself with the documentation of your tools and technologies can provide deep insights into best practices and upcoming features.

Engage in continuous learning through online courses, webinars, and workshops. Platforms like Coursera, edX, and DataCamp offer relevant courses. Follow data engineering blogs to stay informed about the latest trends, tools, and best practices. Participate in online communities such as Stack Overflow, Reddit, or LinkedIn groups dedicated to data engineering. Apply your knowledge by working on practical projects. Engage in open-source projects related to data engineering.

Keep learning.. Imbibe the kaizen mantra.. Get better every single day.. There are loads of resources available online too and little or no cost.. Look for them.

Reflecting on what you have learned is crucial for your personal and professional development. When you summarize newly acquired knowledge in a concise paragraph, you not only consolidate your understanding but also retain the most important insights. However, if you go a step further and share your thoughts on LinkedIn, you can encourage collaboration within the community and attract readers who are interested in similar topics. Creating engaging posts contributes to the knowledge base and makes you a thought leader. This benefits your learning process and enriches the data engineering community by encouraging discussion and the exchange of ideas.

Data Engineers can stay ahead of the curve by actively engaging with online resources (blogs, webinars, MOOCs), attending conferences and local meetups, picking up personal projects and getting familiar with emerging areas like cloud computing, DataOps, real-time/streaming and data governance. Always pair learning with hands-on experimentation by working on targeted projects, the key is to experiment and iterate and to learn from mistakes.

In my opinion a data engineer should have a strong knowledge on data bases and its management . Coming to the question how we can stay top on trend it depends on the individual . Always make sure what type of data it is and velocity of data and size of the data . Next you should have a knowledge on the all technologies and its pros and cons . Next u should think how u can manage this huge flow by enhancing the current technology . I would say for example Hadoop is the outdated in terms of big data management and spark is trending now. Suppose if the data flow and its generating will sure going to rise further the in terms of such aspects u should think of new technology and should able to bring and develop it .