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