Data Engineering Podcast

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.

Eine durchschnittliche Folge dieses Podcasts dauert 46m. Bisher sind 80 Folge(n) erschienen. Dies ist ein wöchentlich erscheinender Podcast


episode 77: Index Your Big Data With Pilosa For Faster Analytics

An interview about the Pilosa bitmap index server and how it can be used to run fast, continuous analytics on large and complex data sets



episode 76: Serverless Data Pipelines On DataCoral

An interview about how DataCoral is building an abstraction layer over data pipelines using microservices built on serverless technologies



episode 75: Why Analytics Projects Fail And What To Do About It

An interview about the common factors that contribute to failure in analytics projects and how data engineers can help keep them on the path to success



episode 74: Building An Enterprise Data Fabric At CluedIn

An interview about building an enterprise data fabric at scale to ease enterprise data integration



episode 73: A DataOps vs DevOps Cookoff In The Data Kitchen

An interview about the current state of DataOps and how it's not just DevOps for data


 2019-03-18  54m

episode 72: Customer Analytics At Scale With Segment

An interview about the platform Segment has built for routing streams of customer analytics data


 2019-03-04  47m

episode 71: Deep Learning For Data Engineers

An interview about what data engineers need to know about deep learning


 2019-02-25  42m

episode 70: The Alluxio Distributed Storage System

An interview about the Alluxio distributed virtual in-memory file system


 2019-02-19  59m

episode 69: Building Machine Learning Projects In The Enterprise

An interview about how to build, launch, and maintain machine learning products


 2019-02-11  48m

episode 68: Cleaning And Curating Open Data For Archaeology

An Interview About Building An Open Data Platform For Archaeologists


 2019-02-04  1h0m