Plumbers of Data Science

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Data Engineering is the plumbing of data science. Almost invisible, but super important and a big mess when done wrong. We talk about interesting Data Engineering trends and topics. I also train Data Engineering in my Data Engineering Academy at LearnData


    • Apr 12, 2022 LATEST EPISODE
    • infrequent NEW EPISODES
    • 30m AVG DURATION
    • 87 EPISODES


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    Latest episodes from Plumbers of Data Science

    #88 - Wouter Trappers - How to Realize a Data Strategy Like a Pro!

    Play Episode Listen Later Apr 12, 2022 39:48


    I have seen people doing that wrong a few times. Luckily Wouter Trappers who is helping companies as a professional can help. We talked about The steps you need to take from value proposition to dashboards. Wouter is really knowledgeable and it was super fun talking with him and hearing his approach.

    #87 - Dhruba Borthakur - From Hadoop to real time analytics

    Play Episode Listen Later Apr 12, 2022 65:37


    Dhruba Borthakur is CTO at Rockset and a passionate Data Engineer. Before co-founding Rockset he played a big role in development of Hadoop HDFS at Yahoo as well as HBase and RocksDB at Facebook. His current project is the serverless Rockset platform where you can gain real time analytics insight into your data. I tried it out before our talk and really liked it.

    #86 The Ultimate Data Engineering Introduction

    Play Episode Listen Later Jan 14, 2021 74:35


    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 think it's the ultimate 1 hour 15 minutes introduction to Data Engineering. There were also a ton of questions from the chat that I answered. Think you really enjoy this.

    #085 Big Data and Data Science Landscape plus trying to read Tweets with Nifi

    Play Episode Listen Later May 28, 2019 43:06


    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 Data Science Landscape image. It shows you all the tools available to do data science, machine learning and data engineering. Which is very helpful if you are researching for tools to use. Before using the Twitter API you got to create a developer account. So, I show you how I created one. After that I tried to get Nifi to download Tweets but it is not working.

    #084 Behind the scenes: Audio podcast, free transcriptions and GitHub

    Play Episode Listen Later May 27, 2019 51:21


    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

    #083 Data Engineering at OLX Case Study

    Play Episode Listen Later May 27, 2019 70:53


    Today a case study about OLX with a guest it was super fun! Here are the slides Alexeyand I talked about: https://www.slideshare.net/mobile/AlexeyGrigorev/image-models-infrastructure-at-olx

    #082 Reading Tweets With Apache Nifi & IaaS vs PaaS vs SaaS

    Play Episode Listen Later May 27, 2019 79:06


    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 application as a service.

    #081 How to get tweets from the Twitter API

    Play Episode Listen Later May 27, 2019 69:47


    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 current live tweets for these hashtags.

    #080 How To Find A Job In Germany & Answering Mails

    Play Episode Listen Later May 27, 2019 54:54


    Tips on how you find a job in Germany and two super interesting mails.

    #079 Trying to stay true to myself and making the cookbook public on GitHub

    Play Episode Listen Later May 27, 2019 24:34


    The cookbook my Youtube, it will be for free, forever! Check out the data engineering cookbook on GitHub: https://github.com/andkret/Cookbook

    #078 Cookbook collaboration and updates

    Play Episode Listen Later May 27, 2019 31:08


    Updates of the cookbook and how to collaborate on it

    #077 Lambda and Kappa Architecture

    Play Episode Listen Later May 27, 2019 82:01


    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 Andrew Ng's AI Transformation Playbook

    #076 Cloud vs On Premise How To Decide

    Play Episode Listen Later May 27, 2019 75:56


    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 instance prices. Otherwise the comparison will drive you insane.

    #075 Creating the Course Structure For My Data Engineering Course

    Play Episode Listen Later May 27, 2019 53:18


    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.

    #074 Starting My Data Engineering Online Course

    Play Episode Listen Later May 27, 2019 61:19


    In this video we go over some of the 100+ comments I received on LinkedIn about a data engineering training.

    #073 Data Engineering At LinkedIn Case Study

    Play Episode Listen Later May 27, 2019 72:21


    Let's check out how LinkedIn is processing data

    #072 Data Engineering At Twitter Case Study

    Play Episode Listen Later May 27, 2019 56:27


    How is Twitter doing Data Engineering? Oh man, they have a lot of cool things to share these tweets.

    #071 Data Engineering At Spotify Case Study

    Play Episode Listen Later May 27, 2019 43:04


    In this episode we are looking at the data engineering at Spotify, my favorite music streaming service. How do they process all that data?

    #070 The Engineering Culture At Spotify

    Play Episode Listen Later May 27, 2019 54:37


    In this podcast we look at the engineering culture at Spotify, my favorite music streaming service. The process behind the development of Spotify is really awesome.

    #069 Data Engineering At Pinterest Case Study

    Play Episode Listen Later May 27, 2019 66:56


    A look into how Pinterest is doing data engineering.

    #068 A Budget Data Science PC Build

    Play Episode Listen Later May 27, 2019 21:24


    Configuring a sub 1000 dollar PC for data engineering and machine learning Link to the builds: 900$ build: https://pcpartpicker.com/list/22ThcY 1500$ build: https://pcpartpicker.com/list/hXJdV6

    #067 Data Engineering At NASA Case Study

    Play Episode Listen Later May 27, 2019 61:43


    A look into how NASA is doing data engineering.

    #066 How To Do Data Science From A Data Engineers Perspective

    Play Episode Listen Later May 27, 2019 31:48


    A simple introduction how to do data science in the context of the internet of things.

    #065 Data Engineering At CERN Case Study

    Play Episode Listen Later May 27, 2019 76:24


    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.

    #064 Data Engineering At Booking.com Case Study

    Play Episode Listen Later May 27, 2019 59:09


    A look into how booking.com is doing data engineering.

    #063 Data Engineering At Airbnb Case Study

    Play Episode Listen Later May 27, 2019 62:59


    A look into how Airbnb is doing Data Engineering.

    #062 Data Engineering At Netflix Case Study

    Play Episode Listen Later May 27, 2019 49:14


    How Netflix is doing Data Engineering using their Keystone platform

    #061 Reworking My Cookbook For Data Engineering

    Play Episode Listen Later May 27, 2019 16:58


    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 engineer and, let's be honest, you will never achieve that with just knowledge of the tools. Finding out how companies do data engineering on their data science platforms is way more useful. Over the next weeks we will go over each study on my YouTube channel. The stuff we talk about will then go into the cookbook too.

    #060 What Is Hadoop And Is Hadoop Still Relevant In 2019?

    Play Episode Listen Later May 27, 2019 24:12


    A Introduction into Hadoop HDFS, YARN and MapReduce. Yes, Hadoop is still relevant in 2019 even if you look into serverless tools.

    #059 A Look Into The Siemens Mindsphere IoT Platform? | #059

    Play Episode Listen Later May 27, 2019 53:31


    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 unimpressed by what I found. Many limitations, unclear architecture and no pricing available? Not good!

    #058 Guitars And Data Live Stream

    Play Episode Listen Later May 27, 2019 96:29


    A stream full of mediocre guitar playing and great Q&A about Hadoop.

    #057 Introducing The Plumbers Medium Publication

    Play Episode Listen Later May 27, 2019 12:59


    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.

    #056 NoSQL Key Value Stores Explained With HBase

    Play Episode Listen Later May 27, 2019 58:16


    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.

    #055 Data Warehouse vs Data Lake

    Play Episode Listen Later May 27, 2019 34:59


    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?

    #054 How to Market Yourself in 2019 Student or Professional

    Play Episode Listen Later May 27, 2019 42:10


    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 putting yourself out there.

    #053 The Data Science Depression Is Coming? What You Can Do

    Play Episode Listen Later May 27, 2019 41:53


    The Data Science Hype is still strong. Where's the industry going, towards a cliff? Here's what can you do?

    #052 Data Engineering Cookbook Live Stream

    Play Episode Listen Later May 27, 2019 55:03


    In this episode I show you the first version of my data engineering cookbook.

    #051 Five Books To Buy As A Data Engineer & My Book Buying Strategy

    Play Episode Listen Later May 27, 2019 12:48


    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.

    #050 Data Engineer Scientist or Analyst Which One Is For You?

    Play Episode Listen Later May 27, 2019 5:29


    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.

    #049 I Found A REAL Use For Blockchain, At Least I thought So

    Play Episode Listen Later May 27, 2019 10:06


    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 GDPR. Well, one problem I overlooked in this podcast is, that it is impossible to delete data after it is in the chain. That's however a rule for GDPR. So, I was wrong. Again :D

    #048 From Wannabe Data Scientist To Engineer My Journey

    Play Episode Listen Later May 27, 2019 12:17


    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.

    #047 The Truth About Data Science Salary For Graduates

    Play Episode Listen Later May 27, 2019 16:49


    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 is over 100k Dollars. Data Engineer or Data Scientist. It's way lower then that. Then I give you a few really good tips on how to choose the right company to work for. Huge corporation, startup or small company? Here's how to choose.

    #046 How To Use GitHub for LaTeX Version Control

    Play Episode Listen Later May 27, 2019 5:56


    In this podcast I am showing you how I use GitHub to write my Data Engineering Cookbook with LaTex.

    #045 Why I Use LaTeX to Write Professionally And You Should Too

    Play Episode Listen Later Dec 7, 2018 12:59


    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 to use LaTeX to write my data engineering cookbook. I used it before for my diploma thesis and I am in love again :) Here's the link to the cheatsheet: https://wch.github.io/latexsheet/latexsheet.pdf Check out my Patreon for the Data Engineering Cookbook: http://bit.ly/PatreonAndreasKretz Music: "Day One" by Declan DP https://soundcloud.com/declandp Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/

    #044 How to Increase Your Chances for Internships or a Full-time Job

    Play Episode Listen Later Nov 27, 2018 11:32


    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. Music: "Day One" by Declan DP https://soundcloud.com/declandp Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/

    #041 Agile Development Is Important But Please Don't Do Scrum

    Play Episode Listen Later Oct 18, 2018 18:47


    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 doing scrum.

    #040 Huge Big Data News! Cloudera and Hortonworks Merge

    Play Episode Listen Later Oct 9, 2018 23:54


    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. If you are interested in the whole hadoop ecosystem you need to check out this episode. You won't regret it ;)

    #039 Is ETL Dead For Data Science and Big Data?

    Play Episode Listen Later Oct 3, 2018 28:47


    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 practiced or did pre processing & cleansing replace it What would replace ETL in Data Engineering? How to become a data engineer? (check out my facebook note) How to get experience training at home? Real time analytics with RDBMS or HDFS?

    #38 Morning advice to beginner Data Scientists and Data Engineers

    Play Episode Listen Later Sep 27, 2018 37:05


    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 large and small companies where's the difference? Are Data Engineers generalists or specialists? Just some questions I go over in this podcast. You sent me over 100 Questions so, I finally worked up the guts to start with the Q&A videos. Answering your questions one by one. Turns out it's a lot of fun :)

    #037 How To Boost Teamwork With Version Control

    Play Episode Listen Later Sep 12, 2018 17:05


    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 Jira enable you to collect bugs, future features or change requests. How they enable you to create and organize versions, add items to a version and assign items to developers. Once this is done, the team can efficiently start coding with the help of source code management systems like GitHub. How does all that work? Check out this episode to find out :)

    #036 Why Distributed Processing Is Super Important

    Play Episode Listen Later Sep 10, 2018 22:30


    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 distributed processing looks like. I talk about the different layers that need parallelization, as well as the tools you can use for on premise installations or clouds like AWS, Azure or Google Cloud. Big Data tools like Kafka, Spark or server less like Kinesis or Lambda functions.

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