

Episode 484: Audrey Lawrence on Timeseries Databases
Nov 2, 2021
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Introduction
00:00 • 3min
Time Series Data - What Other Use Cases Are There?
02:30 • 2min
How to Scale Out Time Series Data Bases
04:52 • 3min
Data Modelling for a Time Series Data Base
07:40 • 5min
Partitioning Data by Space and Time
13:03 • 3min
Data Modelling and Ingestion
16:32 • 3min
How Quickly Can Data Be Queriable?
19:23 • 4min
Scaling Time Series Data
23:37 • 2min
Time Series Data Base
25:52 • 2min
Are There Use Cases Where You'd Like to Keep the Data Forever?
27:50 • 3min
The Relationship Between Time Series Data Bases and Visualization Tools
31:18 • 2min
Adaptive Distributed Queer Engines for Queering Data
33:31 • 2min
Ingestion and Query Performance - Which Matters Most?
35:22 • 2min
Scaling Data Separately to Support Different Use Cases
37:01 • 2min
Time Series Data Bases - What's Faster Than a Conventional Data Base?
39:29 • 2min
Amazon Time Stream Is a Serviles Data Base?
41:24 • 2min
How Does Servilus Design Impact Security Considerations?
43:49 • 2min
Time Series Data Bases - What Are the Trends?
46:05 • 4min
Linked in - Is There a Dynamic Range in Queries?
50:13 • 2min