All Episodes

#130 How Much Control Should You Give AI Agents? An Expert Talk with Exasol's Florian Wenzel & Jürgen Albertsen

#129 Don't Become a Data Engineer Without Knowing These 9 Things

#128 How Data Engineering Has Changed Because of AI

#127 Is AI Making Us Worse Engineers? - with Dan Beach from Data Engineering Central

#126 The Cloud, Java, and the Future of Serverless – with Vadym Kazulkin

#125 AI Hype vs. Reality – with Christina Stathopoulos

#124 These Skills Get You a Data Consulting Job – with Tom Schamberger

#123 Building Fast and Fun Data Projects - with Mehdi Ouazza

#122 Why Writing Is Thinking , and What Data Engineers Can Learn from It - with Simon Späti

#121 From Application Dev to AWS Hero: A Journey in Tech & Impact - with Johannes Koch

#120 Teaching Data Engineering Like It’s Done on the Job - with Deepak Goyal

#119 Recruiting is harder than I thought

#118 Freelancing as a Data Engineer - Hero Talk with the "Seattle Data Guy" Ben Rogojan

#117 We Are Starting a Recruiting Service!

#116 Data Modeling is F***ing Easy!

#115 His Career Started With a Bootcamp & Now He Helps Others Succeed - Hero Talk w/ Mezue Obi-Eyis

#114 Dirty Data & Data Cleaning - Hero Talk with "The Classification Guru" Susan Walsh

#113 A Deep Dive Into APIs, IoT, and Data Storage - Hero Talk with Paolo Lulli

#112 Why testing data pipelines can be so challenging - and how to tackle it

#111 Is This the Synthetic Data Revolution?! Hero Talk with Mario Scriminaci from Mostly AI

#110 Bootcamps vs Coaching

#109 Why your data and goals matter more than tools!

#108 Why Apache Spark Is Such An Essential Skill - Hero Talk with Philipp Brunenberg

#107 The Future of Data Observability - Hero Talk with Ryan Yackel

#106 Should You Move to Germany for a Data Engineering Career?

#105 Personal Branding in Data - Hero Talk with Kate Strachnyi

#104 The Secret Why Time Series Databases Are Awesome - Hero Talk with Jeff Tao

#103 From India to the U.S.: Becoming a Data Engineer at Toyota - Hero Talk with Ayan Tiwari

#102 Data Tools & Platforms: Why you should always be skeptical

#101 GenAI from a Data Engineer's perspective - Hero Talk with Vinoth Nageshwaran

#100 Why Excel should be a go-to tool for data professionals

#99 Real Talk on GenAI & Large Language Models - Hero Talk with Harpreet Sahota

#98 Are Job Guarantees a Scam?

#97 Data Science Career AMA! - Hero Talk with Andrew Jones

#96 Can GenAI be trusted?

#95 The Perfect CV for Switching Careers

#94 - Making less money to set yourself up for success?!

#93 Is the highest paying job the best?

#92 Is it impossible to get a Data Engineering job as a fresher?

#91 A New Beginning & All Successful Students Have This:

#90 Taylor McGrath - The Future of the Modern Data Stack

#89 Piyush Sachdeva - Getting Into Google After Eight Rejections from Amazon!

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

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

#86 The Ultimate Data Engineering Introduction

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

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

#083 Data Engineering at OLX Case Study

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

#081 How to get tweets from the Twitter API

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

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

#078 Cookbook collaboration and updates

#077 Lambda and Kappa Architecture

#076 Cloud vs On Premise How To Decide

#075 Creating the Course Structure For My Data Engineering Course

#074 Starting My Data Engineering Online Course

#073 Data Engineering At LinkedIn Case Study

#072 Data Engineering At Twitter Case Study

#071 Data Engineering At Spotify Case Study

#070 The Engineering Culture At Spotify

#069 Data Engineering At Pinterest Case Study

#068 A Budget Data Science PC Build

#067 Data Engineering At NASA Case Study

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

#065 Data Engineering At CERN Case Study

#064 Data Engineering At Booking.com Case Study

#063 Data Engineering At Airbnb Case Study

#062 Data Engineering At Netflix Case Study

#061 Reworking My Cookbook For Data Engineering

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

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

#058 Guitars And Data Live Stream

#057 Introducing The Plumbers Medium Publication

#056 NoSQL Key Value Stores Explained With HBase

#055 Data Warehouse vs Data Lake

#054 How to Market Yourself in 2019 Student or Professional

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

#052 Data Engineering Cookbook Live Stream

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

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

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

#048 From Wannabe Data Scientist To Engineer My Journey

#047 The Truth About Data Science Salary For Graduates

#046 How To Use GitHub for LaTeX Version Control

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

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

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

#040 Huge Big Data News! Cloudera and Hortonworks Merge

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

#38 Morning advice to beginner Data Scientists and Data Engineers

#037 How To Boost Teamwork With Version Control

#036 Why Distributed Processing Is Super Important

#035 Learning By Doing Is The Best Thing Ever!

#034 Talent Stacks For Data Engineers

#033 How APIs Rule The World

#032 How to Design Security Zones and Lambda Architecture

#031 IT Networking Infrastructure and Linux

#030 Why the hardware and the GPU is super important

#029 A New Mission