Data Engineering Podcast
En podkast av Tobias Macey - Søndager
Kategorier:
419 Episoder
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Unpacking Fauna: A Global Scale Cloud Native Database - Episode 78
Publisert: 22.4.2019 -
Index Your Big Data With Pilosa For Faster Analytics - Episode 77
Publisert: 15.4.2019 -
Serverless Data Pipelines On DataCoral - Episode 76
Publisert: 8.4.2019 -
Why Analytics Projects Fail And What To Do About It - Episode 75
Publisert: 1.4.2019 -
Building An Enterprise Data Fabric At CluedIn - Episode 74
Publisert: 25.3.2019 -
A DataOps vs DevOps Cookoff In The Data Kitchen - Episode 73
Publisert: 18.3.2019 -
Customer Analytics At Scale With Segment - Episode 72
Publisert: 4.3.2019 -
Deep Learning For Data Engineers - Episode 71
Publisert: 25.2.2019 -
The Alluxio Distributed Storage System - Episode 70
Publisert: 19.2.2019 -
Building Machine Learning Projects In The Enterprise - Episode 69
Publisert: 11.2.2019 -
Cleaning And Curating Open Data For Archaeology - Episode 68
Publisert: 4.2.2019 -
Managing Database Access Control For Teams With strongDM - Episode 67
Publisert: 29.1.2019 -
Building Enterprise Big Data Systems At LEGO - Episode 66
Publisert: 21.1.2019 -
TimescaleDB: The Timeseries Database Built For SQL And Scale - Episode 65
Publisert: 14.1.2019 -
Performing Fast Data Analytics Using Apache Kudu - Episode 64
Publisert: 7.1.2019 -
Simplifying Continuous Data Processing Using Stream Native Storage In Pravega with Tom Kaitchuck - Episode 63
Publisert: 31.12.2018 -
Continuously Query Your Time-Series Data Using PipelineDB with Derek Nelson and Usman Masood - Episode 62
Publisert: 24.12.2018 -
Advice On Scaling Your Data Pipeline Alongside Your Business with Christian Heinzmann - Episode 61
Publisert: 17.12.2018 -
Putting Apache Spark Into Action with Jean Georges Perrin - Episode 60
Publisert: 10.12.2018 -
Apache Zookeeper As A Building Block For Distributed Systems with Patrick Hunt - Episode 59
Publisert: 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.