Data Engineering Podcast
A podcast by Tobias Macey - Domenica
Categorie:
419 Episodio
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Unpacking Fauna: A Global Scale Cloud Native Database - Episode 78
Pubblicato: 22/04/2019 -
Index Your Big Data With Pilosa For Faster Analytics - Episode 77
Pubblicato: 15/04/2019 -
Serverless Data Pipelines On DataCoral - Episode 76
Pubblicato: 08/04/2019 -
Why Analytics Projects Fail And What To Do About It - Episode 75
Pubblicato: 01/04/2019 -
Building An Enterprise Data Fabric At CluedIn - Episode 74
Pubblicato: 25/03/2019 -
A DataOps vs DevOps Cookoff In The Data Kitchen - Episode 73
Pubblicato: 18/03/2019 -
Customer Analytics At Scale With Segment - Episode 72
Pubblicato: 04/03/2019 -
Deep Learning For Data Engineers - Episode 71
Pubblicato: 25/02/2019 -
The Alluxio Distributed Storage System - Episode 70
Pubblicato: 19/02/2019 -
Building Machine Learning Projects In The Enterprise - Episode 69
Pubblicato: 11/02/2019 -
Cleaning And Curating Open Data For Archaeology - Episode 68
Pubblicato: 04/02/2019 -
Managing Database Access Control For Teams With strongDM - Episode 67
Pubblicato: 29/01/2019 -
Building Enterprise Big Data Systems At LEGO - Episode 66
Pubblicato: 21/01/2019 -
TimescaleDB: The Timeseries Database Built For SQL And Scale - Episode 65
Pubblicato: 14/01/2019 -
Performing Fast Data Analytics Using Apache Kudu - Episode 64
Pubblicato: 07/01/2019 -
Simplifying Continuous Data Processing Using Stream Native Storage In Pravega with Tom Kaitchuck - Episode 63
Pubblicato: 31/12/2018 -
Continuously Query Your Time-Series Data Using PipelineDB with Derek Nelson and Usman Masood - Episode 62
Pubblicato: 24/12/2018 -
Advice On Scaling Your Data Pipeline Alongside Your Business with Christian Heinzmann - Episode 61
Pubblicato: 17/12/2018 -
Putting Apache Spark Into Action with Jean Georges Perrin - Episode 60
Pubblicato: 10/12/2018 -
Apache Zookeeper As A Building Block For Distributed Systems with Patrick Hunt - Episode 59
Pubblicato: 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.