Data Engineering Podcast
En podcast av Tobias Macey - Söndagar
Kategorier:
419 Avsnitt
-
Data Quality Management For The Whole Team With Soda Data
Publicerades: 2021-03-30 -
Real World Change Data Capture At Datacoral
Publicerades: 2021-03-23 -
Managing The DoorDash Data Platform
Publicerades: 2021-03-16 -
Leave Your Data Where It Is And Automate Feature Extraction With Molecula
Publicerades: 2021-03-09 -
Bridging The Gap Between Machine Learning And Operations At Iguazio
Publicerades: 2021-03-02 -
Self Service Open Source Data Integration With AirByte
Publicerades: 2021-02-23 -
Building The Foundations For Data Driven Businesses at 5xData
Publicerades: 2021-02-16 -
How Shopify Is Building Their Production Data Warehouse Using DBT
Publicerades: 2021-02-09 -
System Observability For The Cloud Native Era With Chronosphere
Publicerades: 2021-02-02 -
Making It Easier To Stick B2B Data Integration Pipelines Together With Hotglue
Publicerades: 2021-01-26 -
Using Your Data Warehouse As The Source Of Truth For Customer Data With Hightouch
Publicerades: 2021-01-19 -
Enabling Version Controlled Data Collaboration With TerminusDB
Publicerades: 2021-01-11 -
Bringing Feature Stores and MLOps to the Enterprise at Tecton
Publicerades: 2021-01-05 -
Off The Shelf Data Governance With Satori
Publicerades: 2020-12-28 -
Low Friction Data Governance With Immuta
Publicerades: 2020-12-21 -
Building A Self Service Data Platform For Alternative Data Analytics At YipitData
Publicerades: 2020-12-15 -
Proven Patterns For Building Successful Data Teams
Publicerades: 2020-12-07 -
Streaming Data Integration Without The Code at Equalum
Publicerades: 2020-11-30 -
Keeping A Bigeye On The Data Quality Market
Publicerades: 2020-11-23 -
Self Service Data Management From Ingest To Insights With Isima
Publicerades: 2020-11-17
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.