Data Engineering Podcast
En podcast af Tobias Macey - Søndage
Kategorier:
419 Episoder
-
Navigating Boundless Data Streams With The Swim Kernel - Episode 98
Udgivet: 18.9.2019 -
Building A Reliable And Performant Router For Observability Data - Episode 97
Udgivet: 10.9.2019 -
Building A Community For Data Professionals at Data Council - Episode 96
Udgivet: 2.9.2019 -
Building Tools And Platforms For Data Analytics - Episode 95
Udgivet: 26.8.2019 -
A High Performance Platform For The Full Big Data Lifecycle - Episode 94
Udgivet: 19.8.2019 -
Digging Into Data Replication At Fivetran - Episode 93
Udgivet: 12.8.2019 -
Solving Data Discovery At Lyft - Episode 92
Udgivet: 5.8.2019 -
Simplifying Data Integration Through Eventual Connectivity - Episode 91
Udgivet: 29.7.2019 -
Straining Your Data Lake Through A Data Mesh - Episode 90
Udgivet: 22.7.2019 -
Data Labeling That You Can Feel Good About - Episode 89
Udgivet: 15.7.2019 -
Scale Your Analytics On The Clickhouse Data Warehouse - Episode 88
Udgivet: 8.7.2019 -
Stress Testing Kafka And Cassandra For Real-Time Anomaly Detection - Episode 87
Udgivet: 2.7.2019 -
The Workflow Engine For Data Engineers And Data Scientists - Episode 86
Udgivet: 25.6.2019 -
Maintaining Your Data Lake At Scale With Spark - Episode 85
Udgivet: 17.6.2019 -
Managing The Machine Learning Lifecycle - Episode 84
Udgivet: 10.6.2019 -
Evolving An ETL Pipeline For Better Productivity - Episode 83
Udgivet: 4.6.2019 -
Data Lineage For Your Pipelines - Episode 82
Udgivet: 27.5.2019 -
Build Your Data Analytics Like An Engineer - Episode 81
Udgivet: 20.5.2019 -
Using FoundationDB As The Bedrock For Your Distributed Systems - Episode 80
Udgivet: 7.5.2019 -
Running Your Database On Kubernetes With KubeDB - Episode 79
Udgivet: 29.4.2019
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.