Data Engineering Podcast
A podcast by Tobias Macey - Sundays
419 Episodes
-  An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data ApplicationsPublished: 22/08/2022
-  Bringing Automation To Data Labeling For Machine Learning With WatchfulPublished: 14/08/2022
-  Collecting And Retaining Contextual Metadata For Powerful And Effective Data DiscoveryPublished: 14/08/2022
-  Useful Lessons And Repeatable Patterns Learned From Data Mesh Implementations At AgileLabPublished: 06/08/2022
-  Optimize Your Machine Learning Development And Serving With The Open Source Vector Database MilvusPublished: 06/08/2022
-  Interactive Exploratory Data Analysis On Petabyte Scale Data Sets With ArkoudaPublished: 31/07/2022
-  What "Data Lineage Done Right" Looks Like And How They're Doing It At MantaPublished: 31/07/2022
-  Writing The Book That Offers A Single Reference For The Fundamentals Of Data EngineeringPublished: 24/07/2022
-  Re-Bundling The Data Stack With Data Orchestration And Software Defined Assets Using DagsterPublished: 24/07/2022
-  Making The Total Cost Of Ownership For External Data Manageable With CruxPublished: 17/07/2022
-  Joe Reis Flips The Script And Interviews Tobias Macey About The Data Engineering PodcastPublished: 17/07/2022
-  Charting the Path of Riskified's Data Platform JourneyPublished: 10/07/2022
-  Maintain Your Data Engineers' Sanity By Embracing AutomationPublished: 10/07/2022
-  Be Confident In Your Data Integration By Quickly Validating Matching Records With data-diffPublished: 03/07/2022
-  The View From The Lakehouse Of Architectural Patterns For Your Data PlatformPublished: 03/07/2022
-  Strategies And Tactics For A Successful Master Data Management ImplementationPublished: 27/06/2022
-  Bring Geospatial Analytics Across Disparate Datasets Into Your Toolkit With The Unfolded PlatformPublished: 27/06/2022
-  Level Up Your Data Platform With Active MetadataPublished: 19/06/2022
-  Combining The Simplicity Of Spreadsheets With The Power Of Modern Data Infrastructure At CanvasPublished: 19/06/2022
-  Hire And Scale Your Data Team With IntentionPublished: 13/06/2022
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.
