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.
https://www.dataengineeringpodcast.com
Gesamtlänge aller Episoden: 15 days 23 hours 52 minutes
How Upsolver Is Building A Data Lake Platform In The Cloud with Yoni Iny - Episode 56
Building A Data Lake Platform In The Cloud At Upsolver (Interview)
Self Service Business Intelligence And Data Sharing Using Looker with Daniel Mintz - Episode 55
Easy And Powerful Self Service Business Intelligence With Looker (Interview)
Using Notebooks As The Unifying Layer For Data Roles At Netflix with Matthew Seal - Episode 54
How Netflix Is Using Jupyter Notebooks In Production (Interview)
Of Checklists, Ethics, and Data with Emily Miller and Peter Bull (Cross Post from Podcast.__init__) - Episode 53
Of Checklists, Ethics, and Data (Interview)
Improving The Performance Of Cloud-Native Big Data At Netflix Using The Iceberg Table Format with Ryan Blue - Episode 52
Iceberg: Improving The Utility Of Cloud-Native Big Data At Netflix (Interview)
Combining Transactional And Analytical Workloads On MemSQL with Nikita Shamgunov - Episode 51
Fast, Scalable, and Flexible Data For Applications And Analytics On MemSQL (Interview)
Building A Knowledge Graph From Public Data At Enigma With Chris Groskopf - Episode 50
The Data Engineering Behind A Real-World Knowledge Graph (Interview)
A Primer On Enterprise Data Curation with Todd Walter - Episode 49
Big Data Curation Strategies (Interview)
Take Control Of Your Web Analytics Using Snowplow With Alexander Dean - Episode 48
Taking Ownership Of Your Web Analytics With Snowplow (Interview)
Keep Your Data And Query It Too Using Chaos Search with Thomas Hazel and Pete Cheslock - Episode 47
Using Chaos Search To Make Long Term Log Storage Affordable And Useful (Interview)