Todays podcast answers to questions:
In what cases would you use a NoSQL database over a SQL one?
How does a NoSql key value store like HBase work?

When to Use NoSQL Databases like HBase | DailyKayy 014

Quick story from the Insurance world. 
People are frustrated, because they are loosing customers in the short term. 
But it's not the fault of data science and it's not about making short term sales. It's about winning in the long run, the macro.

Losing Customers In The Short Term & Winning in The Long Term | DailyKayy 015

In this podcast I talk about core functions of Hadoop.

Hadoop For Data Scientists an Introduction

Working With Time Series Data And Missing Values

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

How Much Big Data Do You Need To Learn As A Data Scientist? | DailyKayy 022

Today it is already super simple to install and maintain a big data cluster. 
Tools like Cloudera Manager help you big time. 
But Cloudera now takes it to the next level with project Altus.

How Super Simple Is It To Actually Do Big Data? | DailyKayy 023

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.

BI Vs Data Science Vs Big Data

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'm a Big Data Engineer and it's Super Awesome!

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.

What You Need To Know About Data Engineering

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 and some sense for business and a lot of skill.

Why Companies Badly Need Data Scientists And Engineers

The Podcast is back! Lets call it season 2: Plumbers of Data Science
New name, new mission: Helping you become a data engineer.
Daily podcast, recorded in my car or my office, getting you up to speed ASAP.

In today's episode "029 A New Mission" I talk more about this new season.
Tomorrow's Podcast will be about the basics of computer hardware.

A New Mission: Plumbers of Data Science

The hardware matters! Data engineers who try to build set up tools or build a platform need to know their hardware. Especially GPUs. Have you already made some first hand experience with GPU processing? Whats your takeaway?

Because from my experience especially the GPU is super important for Data Scientists. They nowadays do a lot of deep learning on them.

Why The Hardware And The GPU Is Super Important

Daily podcast about data science and big data.
Data Science and Big Data Adventurer from Germany
Loving Blues and Synthwave as well as punk.

andreaskayy

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