

Building Real-Time Data Platforms For Large Volumes Of Information With Aerospike
Oct 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 • 2min
Aerow Spike, Lenley Henserling
01:52 • 2min
What's the Story Behind the Airspike Project?
03:53 • 6min
Adtec
09:41 • 2min
Using Machine Learning to Do Real Time Transactions in Financial Services
11:39 • 5min
Data Fabrication
16:57 • 5min
The Aerospike Engine Data Model and the Data Structure That It Supports
21:42 • 3min
Using a Data Model to Get Fast in Real Time
24:15 • 4min
How the Rapid Iteration Has Affected Your Data Base?
28:06 • 4min
Data Engineering Podcast - Data Fold
31:37 • 2min
Is There a Space in the Middle?
34:04 • 5min
Cloud Computing
39:15 • 5min
How Do You Manage the Compatibility Between Clients and Servers?
44:04 • 3min
Spring Data Support
46:35 • 4min
Airspike - The Next Wave of Revenue, Right?
50:52 • 4min
Arrowspike - What's the Challenge?
54:50 • 3min
Is Aerow Spike the Right Choice?
58:20 • 5min
Aerow Spike - What's Next for Real Time Systems?
01:02:55 • 2min
The Biggest Gap in Data Management to Day?
01:04:49 • 3min