Darin Briskman
Data Person => doing interesting things with scale, speed, and streaming with Apache Druid, Imply Polaris, and other cool stuff
Planning a Druid Project
For people getting started with Apache Druid, this lesson takes a developer through all the key planning phases for a Druid project, including purpose, queries, data sources, visualization, infrastructure, and documentation.
Generating Synthetic Data for Development and Testing
This lesson outlines various approaches to generating synthetic data for nonproduction uses, including data requirements and programmatic generation.
Ingesting Batch Data
It’s easy to ingest batch data into Druid, turning files into full-indexed, high-performance tables using SQL commands. This lesson provides an overview of ingesting data from batch sources with in-database transformation capabilities and overall workflow automation.
Ingesting Stream Data
This lesson outlines the key considerations when ingesting data from streaming pipelines including Apache Kafka and Amazon Kinesis. It includes information on Data Sources, Schema Definition, Ingestion Spec, and Monitoring.
Working with changing data
This lesson covers key considerations when working with data sources that mutate over time, including creating tables from streaming data and using schema auto-discovery.
Working with Nested JSON in Druid
This lesson covers key considerations for how to use nested data in Apache Druid.
Scaling a Druid cluster
This lesson walks through design and implementation of Druid infrastructure, including Initial Cluster Creation, Infrastructure Provider Choice, Adding and Removing Capacity, Landscape Design, and Performance Tuning
Monitoring a Druid Cluster
This lesson covers how to consider and implement monitoring for internal Druid operations and cluster infrastructure.
Securing a Druid Cluster
This lesson described how to make a Druid cluster secure, including authoriztion, authentication, network security, and best practices.
Providing High Availability and Disaster Recovery
This lesson provides details on designing and implementing Druid to ensure always-on operations and high data durability.
Snowflake or Druid
This video explains the technical differences between Snowflake and Apache Druid and what workloads each data system is best optimized for.
How is Druid So Fast
This lightboard video explains some of the key Druid concepts that enables it to deliver consistent sub-second performance for analytical queries.
Darin Briskman
Data Person
Darin Briskman is Director of Technology at Imply, where he helps developers create real-time analytics applications. He began his career at NASA in the 1980s (ask him about rockets!) and has been working with large and interesting data sets ever since. Most recently, he's had various technical and leadership roles at Couchbase, Amazon Web Services, and Snowflake. When he's not writing code, Darin likes to juggle, blow glass (usually not while juggling), and working to help children on the autism spectrum learn to use their special abilities to work better with the neuronormative.