
Data Engineering Podcast Building The Materialize Engine For Interactive Streaming Analytics In SQL
Dec 23, 2019
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
Introduction
00:00 • 2min
How Did You Get Into Data Management?
01:31 • 3min
The Lived Experience Is Meant to Be
04:59 • 3min
What Does Materialize Do?
08:07 • 3min
Streaming Data Warehousing - A Better Use Case for Streams
10:48 • 2min
Data Processing Planes for Streaming SQL Style Queries
12:48 • 5min
The Historical Explanation for Using Rust as Your Implementation Language
17:38 • 5min
The Architecture of a Database System
22:31 • 3min
SQL 92 - What Are the Edge Cases?
25:25 • 4min
SQL 92
29:02 • 2min
How Do You Manage the Life Cycle of the Data in Kafka?
30:50 • 5min
The Cap Theorem and the Scaling Strategies for Materialize
35:26 • 3min
The Motivation for the Formation of a Company
38:00 • 2min
The State of the Product Is Pre-Release
40:17 • 2min
What's the Biggest Thing About Streaming Data?
42:15 • 2min
What's the Biggest Gap in the Tooling and Technology for Data Management?
44:30 • 3min
