Data Engineering Podcast
Un pódcast de Tobias Macey - Domingos
Categorías:
419 Episodo
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Unpacking Fauna: A Global Scale Cloud Native Database - Episode 78
Publicado: 22/4/2019 -
Index Your Big Data With Pilosa For Faster Analytics - Episode 77
Publicado: 15/4/2019 -
Serverless Data Pipelines On DataCoral - Episode 76
Publicado: 8/4/2019 -
Why Analytics Projects Fail And What To Do About It - Episode 75
Publicado: 1/4/2019 -
Building An Enterprise Data Fabric At CluedIn - Episode 74
Publicado: 25/3/2019 -
A DataOps vs DevOps Cookoff In The Data Kitchen - Episode 73
Publicado: 18/3/2019 -
Customer Analytics At Scale With Segment - Episode 72
Publicado: 4/3/2019 -
Deep Learning For Data Engineers - Episode 71
Publicado: 25/2/2019 -
The Alluxio Distributed Storage System - Episode 70
Publicado: 19/2/2019 -
Building Machine Learning Projects In The Enterprise - Episode 69
Publicado: 11/2/2019 -
Cleaning And Curating Open Data For Archaeology - Episode 68
Publicado: 4/2/2019 -
Managing Database Access Control For Teams With strongDM - Episode 67
Publicado: 29/1/2019 -
Building Enterprise Big Data Systems At LEGO - Episode 66
Publicado: 21/1/2019 -
TimescaleDB: The Timeseries Database Built For SQL And Scale - Episode 65
Publicado: 14/1/2019 -
Performing Fast Data Analytics Using Apache Kudu - Episode 64
Publicado: 7/1/2019 -
Simplifying Continuous Data Processing Using Stream Native Storage In Pravega with Tom Kaitchuck - Episode 63
Publicado: 31/12/2018 -
Continuously Query Your Time-Series Data Using PipelineDB with Derek Nelson and Usman Masood - Episode 62
Publicado: 24/12/2018 -
Advice On Scaling Your Data Pipeline Alongside Your Business with Christian Heinzmann - Episode 61
Publicado: 17/12/2018 -
Putting Apache Spark Into Action with Jean Georges Perrin - Episode 60
Publicado: 10/12/2018 -
Apache Zookeeper As A Building Block For Distributed Systems with Patrick Hunt - Episode 59
Publicado: 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.