Gesamtlänge aller Episoden: 15 days 19 hours 55 minutes
Real-Time Analysis Of Time-Series Data In PostgreSQL With PipelineDB (Interview)
The Evolution Of ETL As A Function Of Business Growth (Interview)
Tackling Apache Spark From The Data Engineer's Perspective (Interview)
Building Distributed Systems On Top Of Apache Zookeeper (Interview)
Building The Dremio Open Source Data-as-a-Service Platform (Interview)
Scalable and Stateful Streaming Data With Apache Flink (Interview)
Building A Data Lake Platform In The Cloud At Upsolver (Interview)
Easy And Powerful Self Service Business Intelligence With Looker (Interview)
How Netflix Is Using Jupyter Notebooks In Production (Interview)
Of Checklists, Ethics, and Data (Interview)