Sergio Ferragut
Developer Advocate => Distributed Databases, Analytics, Data Pipelines, Data Modeling, Applications
An in-depth look at streaming ingestion
An in-depth review of how streaming ingestion works in Apache Druid. It provides a review of the internal workings of each task and how they work together to provide scale and throughput.
Analyzing Clickstream Data
Discussion with Helmar Becker regarding clickstream data structure, delivery, ingestion and analytic query use cases.
Pruning in Druid
Fourth and last video in the Partitioning Series that describes and demos how different partitioning strategies provide segment pruning at query time.
Range Partitioning in Druid
Third video in the Partitioning Series that explains how single dimension and range partitioning work.
Hash Partitioning in Druid
Second video in the Partitioning Series that describes the details of how hash partitioning works.
Intro & Dynamic Partitioning in Druid
First in the Partitioning Series of videos that explains the concepts of time partitioning and secondary partitioning.
Sergio Ferragut
Developer Advocate
Sergio Ferragut is a database veteran turned Developer Advocate at Imply with 25+ years in professional services and engineering roles in the data and analytics space at Teradata, APL and Splice Machine. He has Direct experience in building analytics applications spanning the retail, supply chain, pricing optimization and IoT spaces.