Data engineers have a wide array of responsibilities. Usually, their main job is to make data useful and accessible to other data professionals. Yet, none of their tasks can’t be performed without the proper tooling. That’s why in this article, our data expert is taking you on a journey through the core data engineering tools. With these tools, you’ll be well-equipped to complete all of the key data engineering endeavours.
Did you know that Netflix saves $1 billion annually thanks to big data? From that perspective, it’s not surprising that 97.2% of organizations are already investing in that field. However, with this rapid growth also comes a rising threat – security issues. To fight off these malicious activities, you need protection. So, in this article, we'll explore why big data security is important and how to set it up.
You've probably heard that "data is the new oil" before. That’s a really cool analogy – said somebody in 2006. Now, this perspective has become a trope. Yet...it still depicts what Data Engineering is really well. That’s why we’re going to disappoint and talk about Data Engineering with gasoline analogies once again. But don't leave; we promise it's worth reading.
Ordering IT in the early 2000s usually meant listing functional requirements. Back then, developing software in accordance with a specification provided by the client was a common practice. As a result, the outcomes were often disastrous. So, in this blog post, we’re going to show you how to do it professionally in the 3rd decade of the 21st century to avoid flops.