Software Engineering Radio - the podcast for professional software developers SE-Radio-Episode-233-Fangjin-Yang-on-OLAP-and-the-Druid-Real-Time-Analytical-Data-Store
Jul 28, 2015
Chapters
Transcript
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22
Introduction
00:00 • 3min
OLAP Workflows - What Are Hypercubes?
03:05 • 2min
The Role of Dimensions in the OLAP Cube
05:25 • 2min
What Are the Primary Types of Queries in OLAP?
07:50 • 2min
Is There a Visualization for a Multi-Dimensional Cube?
09:41 • 3min
What Is Real Time and How Does It Change That?
12:14 • 3min
Is Real Time a Better Use Case for Business Intelligence?
14:51 • 2min
Is the Analytics Tool No Longer a Data Warehouse?
17:17 • 2min
Lambda Architecture - The Slow Leg and the Fast Leg
19:04 • 2min
The Primary Value Add of Druid
20:40 • 2min
Druid - What's the Architecture of an Application?
22:14 • 2min
Druid in the Ad Tech Use Cases?
23:51 • 2min
Using Druid to Track and Analyze Ad Clicks
25:59 • 2min
Druid vs Batch OLAP?
28:10 • 3min
The Architecture of a Druid Cluster
30:43 • 4min
Druid Data Modeling - Is Time a Special Dimension?
34:24 • 2min
Druid
36:06 • 2min
Druid
38:32 • 3min
Druid Clusters and Scaling Issues
41:26 • 3min
How Many Nodes Are There in a Druid Cluster?
44:05 • 2min
Druid and OLAP - What's Next?
46:32 • 2min
Druid Podcast - Software Engineering Radio
48:48 • 2min