Startseite
Podcasts
Software Engineering Radio - The Podcast for Professional Software Developers Podcast
SE Radio 233: Fangjin Yang on OLAP and the Druid Real-Time Analytical Data Store

SE Radio 233: Fangjin Yang on OLAP and the Druid Real-Time Analytical Data Store

Software Engineering Radio - The Podcast for Professional Software Developers vor 11 Jahren

0:00

51:19

Fangjin Yang, creator of the Druid real-time analytical database,
talks with Robert Blumen. They discuss the OLAP (online
analytical processing) domain, OLAP concepts (hypercube,
dimension, metric, and pivot), types of OLAP queries (roll-up,
drill-down, and slicing and dicing), use cases for OLAP by
organizations, the OLAP store's position in the enterprise
workflow, what "real time" means in the analytics context, and
the relationship between real-time analytics and the Lambda
architecture. They then move on to Druid itself: a high-level
view, the challenges of implementing real-time analytics, and
major application domains for Druid. They also discuss ad-tech
and real-time analytics and real-time analytics as an operational
tool. Yang then addresses Druid internals: node types, the
special handling of the time dimension, the Druid query language,
and the relationship between SQL and OLAP. Closing topics are the
Druid open source project, community contributions, and the size
and scale of some of the larger Druid clusters.