The Podcast is back!!!! I promise I am going to keep it up to date this time ;)
In this episode I talk about my newest Data Engineering course. I …
We are looking into the network communication protocol map. I first saw this like 10 years ago and its awesome.
Then we check out the Big Data and …
Today's podcast is a bit of a behind the scenes.
What it takes to do a audio podcast. How you can get audio to text transcriptions for free.
.Also Github questions on how to work with branches on the Cookbook
Today a case study about OLX with a guest it was super fun!
Here are the slides Alexeyand I talked about:
In this episode we install the Nifi docker container and look into how we can extract the twitter data.
We are also talking about the differences between infrastructure as a service, platform as a service and …
In this episode we look into the Twitter API documentation, which I love by the way.
How can we get old tweets for a certain hashtags and how to get …
Tips on how you find a job in Germany and two super interesting mails.
The cookbook my Youtube, it will be for free, forever! Check out the data engineering cookbook on GitHub:
Updates of the cookbook and how to collaborate on it
In this episode we talk about the lambda architecture with stream and batch processing as well as a alternative the Kappa Architecture that consists only of streaming. Also Data engineer vs data scientist and we discuss …
How do you choose between Cloud vs On-Premise, pros and cons and what you have to think about. Because there are good reasons to not go cloud.
Also thoughts on how to choose between the cloud providers by just comparing …
In this episode we go over the ideas I have for the data engineering course structure. It was your chance for you to influence what we put in there.
In this video we go over some of the 100+ comments I received on LinkedIn about a data engineering training.
Let's check out how LinkedIn is processing data
How is Twitter doing Data Engineering? Oh man, they have a lot of cool things to share these tweets.
In this episode we are looking at the data engineering at Spotify, my favorite music streaming service. How do they process all that data?
In this podcast we look at the engineering culture at Spotify, my favorite music streaming service.
The process behind the development of Spotify is …
A look into how Pinterest is doing data engineering.
Configuring a sub 1000 dollar PC for data engineering and machine learning
Link to the builds:
900$ build: https://pcpartpicker.com/list/22ThcY
A look into how NASA is doing data engineering.
A simple introduction how to do data science in the context of the internet of things.
A look into how CERN is doing Data Engineering. They get huge amounts of data from the Large Hydron Colider. Let's check it out.
A look into how booking.com is doing data engineering.
A look into how Airbnb is doing Data Engineering.
How Netflix is doing Data Engineering using their Keystone platform
I decided to rework the cookbook focusing more on case studies and less on explaining tools.
People keep asking me for a path to become a data …
A Introduction into Hadoop HDFS, YARN and MapReduce.
Yes, Hadoop is still relevant in 2019 even if you look into serverless tools.
The Internet of things is a huge deal. There are many platforms available. But, which one is actually good?
Join me on a 50 minute dive into the Siemens Mindsphere online documentation.
I have to say I was super …
A stream full of mediocre guitar playing and great Q&A about Hadoop.
I have created a Medium Publication especially for us Plumbers of Data Science who work in Data Engineering and Big Data.
It's called, you guessed it, Plumbers of Data Science.
What is the difference between SQL and NoSQL?
In this episode I show you on the example of HBase how a key/value store works.
On this podcast I talk about data warehouses and data lakes.
When do people use which? What are the pros and cons of both?
Architecture examples for both and does it make sense to completely move to a data lake?
In this episode I talk about how you can gain a competitive edge on the job market. It's super simple, you can and should start with it TODAY by …
The Data Science Hype is still strong. Where's the industry going, towards a cliff? Here's what can you do?
In this episode I show you the first version of my data engineering cookbook.
Getting a book and reading it cover to cover is useless. In this episode I show you my strategy of buying books complimentary to your work. And 5 great books I read over the years that helped me get where I am now.
In this podcast we talk about the differences between data scientists, analysts and engineers. Which are the three main data science jobs.
All three super important.
After all the BS solutions using Blockchain I thought I finally found one that makes sense. Of all the possibilities it's the EU data protection law …
In this episode Kate Strachnyi interviews me for her humans of data science podcast. We talk about how I found out that I am more into the engineering part of data science.
In this episode I show you how much data science graduates are actually payed in Germany.
All over the internet you can find that Data Science salary …
In this podcast I am showing you how I use GitHub to write my Data Engineering Cookbook with LaTex.
What is the best editing tool to write a thesis, a dissertation or a paper? NOT Word or Pages! It's LaTeX.
In today's video I show you why I decided …
You have certifications or a university degree, but can't find a job?
Sharing your ideas and knowledge will increase your chances!
Here's how you can do that.
"Day One" by Declan DP
I love agile development. People keep telling you to do Scrum, like it's the only and best choice to be agile. It's not. Here's my take on scrum and my four main beefs with it. Watch out for these issues if you are …
So, Cloudera and Hortonworks merge... In today's Plumbers of Data Science Podcast I talk about what these, big data vendors do. How they enable companies, admins and developers to do data science and many more things.
Is ETL dead in Data Science and Big Data?
In today's podcast I share with you my views on your questions regarding ETL (extract, transform, load).
Data Lakes & Data Warehouse where is the difference?
Is ETL still …
What's the difference between Data Scientists & Data Analysts?
What to do to find internships or a full time job?
Data Scientist and Engineer in …
Without the proper tools and techniques of version control the team's efficiency goes down the drain. In this episode I talk about how tools like …
You need to become comfortable with distributed processing. Data Science or the Internet of Things, the amount of data that is getting produced and processed grows like crazy. In this podcast I talk about how a platform …
For me, school and university was hard. The lectures, sitting down and getting told how things work.
Reading books and learning dry stuff was a drag. …
Becoming an expert in single skill is not the way to go for a data engineer. In this episode I talk about which talents go good together in terms of technical and personal ones. So, that you build up a stack of …
Strong APIs make a good platform. In this episode I talk about why you need APIs and why Twitter is a great example. Especially JSON APIs are my personal favorite. Because JSON is also important in the Big Data world, …
Security is everything! That's why today, I took some time to give you some tips about how to make a good design. The Lambda Architecture with stream and batch processing is one of the cornerstones for Big Data and Data …
The understanding of how information is transported over the network is super important. OS wise you will mostly encounter Linux so here are some important Linux basics you need to know.
Firewalls, Ports, IP-Adresses, …
Knowing the hardware is super important for a data engineer. Even if you are using cloud servers. CPU, RAM, GPU, HDD, SSD...
Especially the GPU is a great help to Data Scientists who are doing machine learning.
I am bringing the Podcast back! Lets call it season 2.
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.
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, Variety and Veracity.
In this podcast episode I talk …
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 …
This podcast is all about what you as a data engineer really do.
From building platforms to collaboration with data scientists and customers.
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 …
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 …
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 …
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.
How to define a data science problem.
NoSQL databases like HBase are awesome!
But why and when should you use them?
How does a key value store like HBase work?
Today I am talking about …
Creating a Gaming-AI with Reinforcement Learning • Creating a Gaming-AI with Reinforcement Learning
Loosing money with data science in the short term does not matter. It's about the long run, not quick sales.
This is a story about how this happened in the insurance industry. And how to go at it to turn this loss into …
Swish the Swedish Fintech that Blew My Mind in 2017
Chat and Q&A about data science with data scientists
It is very important for me to keep track of emerging technologies and trends. You want to know where the industry is headed. You don't want to miss …
How to convince people that machine learning actually works? It's simpler than you think.
You have the data. Data doesn't lie!
Unavailable cellphone coverage really pissed me off. You cannot transmit data and do cloud based analytics during that time. That is why edge devices in the field have to get more and more get analytics capabilities …
In this episode I talk about the 4 Vs of big data. And how Big Data can save you from catastrophic success.
Doing machine learning in production is very different then for proof of concepts or in education.
One of the hardest parts is keeping models updated.
Choose between Big Data & Data Science • Choose between Big Data & Data Science • Choose between Big Data & Data Science
How Data Science Transforms Agriculture | DailyKayy 004 • How Data Science Transforms Agriculture | DailyKayy 004 • How Data Science Transforms …
Insurance companies use data science to detect fraudulent cases. Saving themselves and the customers money
How Smartwatches and Fitbits Transform Healthcare • How Smartwatches and Fitbits Transform Healthcare
Docker is so awesome for beginners. Preconfigured images let you start coding in minutes. No annoying dev environment setup.
Social media, Product development. Get that data and analyze it!
Prime Video X-Ray Feature, Tesla & Comma AI • Prime Video X-Ray Feature, Tesla & Comma AI • Prime Video X-Ray Feature, Tesla & Comma AI
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