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
TimescaleDB: Fast And Scalable Timeseries with Ajay Kulkarni and Mike Freedman - Episode 18
TimescaleDB: Fast and Scalable Timeseries On PostGreSQL (Interview)
Pulsar: Fast And Scalable Messaging with Rajan Dhabalia and Matteo Merli - Episode 17
Fast, Globally Scalable Data Streaming with Pulsar (Interview)
Dat: Distributed Versioned Data Sharing with Danielle Robinson and Joe Hand - Episode 16
Dat Project: Efficient Sharing of Versioned Data Sets (Interview)
Snorkel: Extracting Value From Dark Data with Alex Ratner - Episode 15
Snorkel: Extracting Value From Dark Data With Python (Interview)
CRDTs and Distributed Consensus with Christopher Meiklejohn - Episode 14
CRDTs, Conflict Resolution, and Distributed Consensus in Real World Systems (Interview)
Citus Data: Distributed PostGreSQL for Big Data with Ozgun Erdogan and Craig Kerstiens - Episode 13
Scaling PostGreSQL for Big Data and Parallel Execution with Citus Data (Interview)
Wallaroo with Sean T. Allen - Episode 12
Fast and Scalable Real-Time Stream Computation with Wallaroo (Interview)
SiriDB: Scalable Open Source Timeseries Database with Jeroen van der Heijden - Episode 11
SiriDB: Scalable Timeseries Database For Your System Metrics (Interview)
Confluent Schema Registry with Ewen Cheslack-Postava - Episode 10
How Centralized Schemas Help Tame Distributed Streaming Analytics (Interview)
data.world with Bryon Jacob - Episode 9
Data.World: The Platform For The Web Of Linked Data (Interview)