Data Engineering Podcast
A podcast by Tobias Macey - Sundays

Categories:
419 Episodes
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Repeatable Patterns For Designing Data Platforms And When To Customize Them
Published: 4/3/2022 -
Eliminate The Bottlenecks In Your Key/Value Storage With SpeeDB
Published: 3/27/2022 -
Building A Data Governance Bridge Between Cloud And Datacenters For The Enterprise At Privacera
Published: 3/27/2022 -
Exploring Incident Management Strategies For Data Teams
Published: 3/20/2022 -
Accelerate Your Embedded Analytics With Apache Pinot
Published: 3/20/2022 -
Accelerating Adoption Of The Modern Data Stack At 5X Data
Published: 3/14/2022 -
Taking A Multidimensional Approach To Data Observability At Acceldata
Published: 3/14/2022 -
Move Your Database To The Data And Speed Up Your Analytics With DuckDB
Published: 3/5/2022 -
Developer Friendly Application Persistence That Is Fast And Scalable With HarperDB
Published: 3/5/2022 -
Reflections On Designing A Data Platform From Scratch
Published: 2/28/2022 -
Manage Your Unstructured Data Assets Across Cloud And Hybrid Environments With Komprise
Published: 2/28/2022 -
Build Your Python Data Processing Your Way And Run It Anywhere With Fugue
Published: 2/21/2022 -
Understanding The Immune System With Data At ImmunAI
Published: 2/21/2022 -
Bring Your Code To Your Streaming And Static Data Without Effort With The Deephaven Real Time Query Engine
Published: 2/14/2022 -
Build Your Own End To End Customer Data Platform With Rudderstack
Published: 2/14/2022 -
Scale Your Spatial Analysis By Building It In SQL With Syntax Extensions
Published: 2/7/2022 -
Scalable Strategies For Protecting Data Privacy In Your Shared Data Sets
Published: 2/6/2022 -
A Reflection On Learning A Lot More Than 97 Things Every Data Engineer Should Know
Published: 1/31/2022 -
Effective Pandas Patterns For Data Engineering
Published: 1/31/2022 -
The Importance Of Data Contracts As The Interface For Data Integration With Abhi Sivasailam
Published: 1/23/2022
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.