In this episode I give you my take on why companies badly need data scientists and engineers.

Because in this data driven world, you can accomplish a lot with just a few people.

All you need is a vision, some sense for business and a lot of skill.

This podcast is all about what you as a data engineer really do.

From building platforms to collaboration with data scientists and customers.

Everything you need to know to get insight into a data engineers life.

There is this other data science job called data engineer and it's super important. Because data science does not equal data scientist.

In today's podcast I talk about how I finally realized that data engineering is my real passion.

Definitely check it out, chances are high that data engineering is your thing too.

I have recently been asked: "What is the difference between BI, Data Science and Big Data". So, it thought I make a quick podcast about this for you guys. I think especially beginners will help this a lot.

Big Data tools are very important. But how deep should you really go as a data scientist?

How do you best learn all this stuff?

Some questions I try to answer in this episode.

Time series data is tricky. Especially if you have missing data.

In this episode I talk about a few things you can do to handle this problem.

A 5 minute rant why the cloud is safe.

Hey Podcast, in this episode I talk about the core functions of Hadoop.

There are three different methods of streamging: At least once, at most once and exactly once. Listen why it makes a huge difference which one you use. Because not every system or tool supports all three.

Where to get dirty data to train cleaning it?

What are unicorn data scientists and what is THE skill you need if you aren't one.