Data Engineering Podcast
A podcast by Tobias Macey - Duminică
419 Episoade
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Unpacking Fauna: A Global Scale Cloud Native Database - Episode 78
Publicat: 22.04.2019 -
Index Your Big Data With Pilosa For Faster Analytics - Episode 77
Publicat: 15.04.2019 -
Serverless Data Pipelines On DataCoral - Episode 76
Publicat: 08.04.2019 -
Why Analytics Projects Fail And What To Do About It - Episode 75
Publicat: 01.04.2019 -
Building An Enterprise Data Fabric At CluedIn - Episode 74
Publicat: 25.03.2019 -
A DataOps vs DevOps Cookoff In The Data Kitchen - Episode 73
Publicat: 18.03.2019 -
Customer Analytics At Scale With Segment - Episode 72
Publicat: 04.03.2019 -
Deep Learning For Data Engineers - Episode 71
Publicat: 25.02.2019 -
The Alluxio Distributed Storage System - Episode 70
Publicat: 19.02.2019 -
Building Machine Learning Projects In The Enterprise - Episode 69
Publicat: 11.02.2019 -
Cleaning And Curating Open Data For Archaeology - Episode 68
Publicat: 04.02.2019 -
Managing Database Access Control For Teams With strongDM - Episode 67
Publicat: 29.01.2019 -
Building Enterprise Big Data Systems At LEGO - Episode 66
Publicat: 21.01.2019 -
TimescaleDB: The Timeseries Database Built For SQL And Scale - Episode 65
Publicat: 14.01.2019 -
Performing Fast Data Analytics Using Apache Kudu - Episode 64
Publicat: 07.01.2019 -
Simplifying Continuous Data Processing Using Stream Native Storage In Pravega with Tom Kaitchuck - Episode 63
Publicat: 31.12.2018 -
Continuously Query Your Time-Series Data Using PipelineDB with Derek Nelson and Usman Masood - Episode 62
Publicat: 24.12.2018 -
Advice On Scaling Your Data Pipeline Alongside Your Business with Christian Heinzmann - Episode 61
Publicat: 17.12.2018 -
Putting Apache Spark Into Action with Jean Georges Perrin - Episode 60
Publicat: 10.12.2018 -
Apache Zookeeper As A Building Block For Distributed Systems with Patrick Hunt - Episode 59
Publicat: 03.12.2018
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.
