In the 43rd episode I speak with Tim Berglund on Realtime Analytics with Apache Pinot.

Chapters:

00:00 Introduction

01:22 What do we mean by analytics and realtime analytics?

05:35 Can we define realtime in millis, seconds or minutes?

08:54 What is the fundamental difference between traditional analytics systems and Apache Pinot?

12:19 Was Kafka one of the reasons Apache Pinot could reach its full potential?

16:50 E-commerce Application example - How do I get my data in?

20:07 How is data stored (structured) on the disk?

23:31 Are joins available in Apache Pinot?

26:07 Joins vs pre-computing at ingestion

27:15 How is historical data ingested into Apache Pinot?

28:14 Types of indexes available in Apache Pinot

35:42 Do indexes cause write amplification? Is that a problem in Apache Pinot?

40:02 Point lookups in Apache Pinot

42:54 Anamoly Detection

45:51 Coming up in Apache Pinot

Links:

StarTree https://startree.ai/

Apache Pinot: https://pinot.apache.org/

Joins in Pinot: https://startree.ai/blog/apache-pinot...

Apache Pinot Indexes: https://docs.pinot.apache.org/basics/...

Other playlists:

Distributed systems:    • Distributed Syste...  

Modern Databases:    • Modern Databases  

Serverless Architecture:    • Serverless Archit...  

Software Engineering:    • Software Engineering  

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Cheers,

The GeekNarrator