Keeping up with changing schemas in streaming data
Discover how Apache Druid delivers a unique solution for managing schema changes in streaming data. Its approach helps alleviate challenges, solidifying Druid’s position as the top database for real-time analytics.
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.
Migrate Analytics Data from Snowflake to Apache Druid
This tutorial outlines how to migrate data from Snowflake to Apache Druid. It covers the process of extracting data from Snowflake, ingesting that data into Druid and also querying that data.
Migrate Analytics Data from MongoDB to Apache Druid
This tutorial steps through the data migration procedure for moving data from MongoDB to Apache Druid. It covers the process of extracting data from MongoDB, ingesting that data into Druid and hanging changing data.
Automatic Kafka Stream Topic Detection and Ingestion
This tutorial outlines how to automate ingestion from new Kafka topics to Apache Druid. It outlines how to develop a monitoring agent that captures new topics and automatically creates ingestion tasks for them in Druid.