Data Engineering Podcast
Een podcast door Tobias Macey - Zondagen
Categorieën:
419 Afleveringen
-
Building And Managing Data Teams And Data Platforms In Large Organizations With Ashish Mrig
Gepubliceerd: 23-1-2022 -
Automated Data Quality Management Through Machine Learning With Anomalo
Gepubliceerd: 15-1-2022 -
An Introduction To Data And Analytics Engineering For Non-Programmers
Gepubliceerd: 15-1-2022 -
Open Source Reverse ETL For Everyone With Grouparoo
Gepubliceerd: 8-1-2022 -
Data Observability Out Of The Box With Metaplane
Gepubliceerd: 8-1-2022 -
Creating Shared Context For Your Data Warehouse With A Controlled Vocabulary
Gepubliceerd: 2-1-2022 -
A Reflection On The Data Ecosystem For The Year 2021
Gepubliceerd: 2-1-2022 -
Revisiting The Technical And Social Benefits Of The Data Mesh
Gepubliceerd: 27-12-2021 -
Exploring The Evolving Role Of Data Engineers
Gepubliceerd: 27-12-2021 -
Fast And Flexible Headless Data Analytics With Cube.JS
Gepubliceerd: 21-12-2021 -
Building A System Of Record For Your Organization's Data Ecosystem At Metaphor
Gepubliceerd: 20-12-2021 -
Building Auditable Spark Pipelines At Capital One
Gepubliceerd: 13-12-2021 -
Deliver Personal Experiences In Your Applications With The Unomi Open Source Customer Data Platform
Gepubliceerd: 12-12-2021 -
Data Driven Hiring For Data Professionals With Alooba
Gepubliceerd: 4-12-2021 -
Experimentation and A/B Testing For Modern Data Teams With Eppo
Gepubliceerd: 4-12-2021 -
Creating A Unified Experience For The Modern Data Stack At Mozart Data
Gepubliceerd: 27-11-2021 -
Doing DataOps For External Data Sources As A Service at Demyst
Gepubliceerd: 27-11-2021 -
Exploring Processing Patterns For Streaming Data Integration In Your Data Lake
Gepubliceerd: 20-11-2021 -
Laying The Foundation Of Your Data Platform For The Era Of Big Complexity With Dagster
Gepubliceerd: 20-11-2021 -
Data Quality Starts At The Source
Gepubliceerd: 14-11-2021
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.