Data Engineering Podcast
A podcast by Tobias Macey - Sundays
Categories:
419 Episodes
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Unpacking Fauna: A Global Scale Cloud Native Database - Episode 78
Published: 22/04/2019 -
Index Your Big Data With Pilosa For Faster Analytics - Episode 77
Published: 15/04/2019 -
Serverless Data Pipelines On DataCoral - Episode 76
Published: 8/04/2019 -
Why Analytics Projects Fail And What To Do About It - Episode 75
Published: 1/04/2019 -
Building An Enterprise Data Fabric At CluedIn - Episode 74
Published: 25/03/2019 -
A DataOps vs DevOps Cookoff In The Data Kitchen - Episode 73
Published: 18/03/2019 -
Customer Analytics At Scale With Segment - Episode 72
Published: 4/03/2019 -
Deep Learning For Data Engineers - Episode 71
Published: 25/02/2019 -
The Alluxio Distributed Storage System - Episode 70
Published: 19/02/2019 -
Building Machine Learning Projects In The Enterprise - Episode 69
Published: 11/02/2019 -
Cleaning And Curating Open Data For Archaeology - Episode 68
Published: 4/02/2019 -
Managing Database Access Control For Teams With strongDM - Episode 67
Published: 29/01/2019 -
Building Enterprise Big Data Systems At LEGO - Episode 66
Published: 21/01/2019 -
TimescaleDB: The Timeseries Database Built For SQL And Scale - Episode 65
Published: 14/01/2019 -
Performing Fast Data Analytics Using Apache Kudu - Episode 64
Published: 7/01/2019 -
Simplifying Continuous Data Processing Using Stream Native Storage In Pravega with Tom Kaitchuck - Episode 63
Published: 31/12/2018 -
Continuously Query Your Time-Series Data Using PipelineDB with Derek Nelson and Usman Masood - Episode 62
Published: 24/12/2018 -
Advice On Scaling Your Data Pipeline Alongside Your Business with Christian Heinzmann - Episode 61
Published: 17/12/2018 -
Putting Apache Spark Into Action with Jean Georges Perrin - Episode 60
Published: 10/12/2018 -
Apache Zookeeper As A Building Block For Distributed Systems with Patrick Hunt - Episode 59
Published: 3/12/2018
This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.