Data Engineering is the plumbing of data science. Almost invisible, but super important and a big me
Without the proper tools and techniques of version control the team's efficiency goes down the drain
You need to become comfortable with distributed processing. Data Science or the Internet of Things,
For me, school and university was hard. The lectures, sitting down and getting told how things work.
Becoming an expert in single skill is not the way to go for a data engineer. In this episode I talk
Strong APIs make a good platform. In this episode I talk about why you need APIs and why Twitter is
Security is everything! That's why today, I took some time to give you some tips about how to make a
The understanding of how information is transported over the network is super important. OS wise you
Knowing the hardware is super important for a data engineer. Even if you are using cloud servers. CP
I am bringing the Podcast back! Lets call it season 2. New name, new mission: Helping you become a d
8 V's, 10 V's, 12 V's . The best way to explain Big Data is to use the four V's: Volume, Velocity,
In this episode I give you my take on why companies badly need data scientists and engineers. Becaus
This podcast is all about what you as a data engineer really do. From building platforms to collabor
There is this other data science job called data engineer and it's super important. Because data sci
I have recently been asked: "What is the difference between BI, Data Science and Big Data". So, it t
Big Data tools are very important. But how deep should you really go as a data scientist? How do you
Time series data is tricky. Especially if you have missing data. In this episode I talk about a few
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. Liste
Where to get dirty data to train cleaning it? What are unicorn data scientists and what is THE skill
