Batch processing is too slow for modern applications that need sub second queries on streaming data. Apache Druid is the real time analytics database that powers interactive dashboards at Netflix, Airbnb, Lyft, and Cisco. This hands on course takes you from installation to real world use cases. You will learn Druid architecture, data organization with segments and datasources, loading data from local files and Kafka streams, running SQL like queries, and optimizing performance with rollups. The course includes installation on both Linux and Windows via Docker.

This Course Offers

• A complete understanding of real time analytics databases and why Druid is unique.
• Hands on installation and configuration on Linux and Windows (using Docker Desktop).
• Data loading from local files, URIs, and real time Kafka streams.
• Query execution, explain plans, rollups, and performance optimization.
• A comparison of Druid with data warehouses (Redshift, BigQuery), search systems (Elasticsearch), and time series databases.

Why We Love This Course

1. Druid is a highly demanded but rarely taught skill. Companies using Druid pay a premium for engineers who understand it.
2. The course is practical and hands on. You do not just watch slides. You install, load, query, and optimize.
3. The instructor is a Solution Architect with 12+ years of experience in banking, telecom, and financial services. He has real world Big Data and Cloud experience.
4. Over 200 students have enrolled in this brand new course (updated February 2026), so the content reflects the latest Druid version.

The course assumes basic SQL knowledge and Linux command line skills. If you are a data engineer tired of slow batch queries or a BI professional who needs sub second dashboards on streaming data, this course opens the door to a powerful, modern analytics database.

• Data engineers and big data developers who want to master real time analytics databases.
• Data analysts and BI professionals looking to build sub second interactive dashboards on streaming data.
• Software engineers integrating analytics into user facing applications.
• Students and enthusiasts who want to learn how modern analytics systems like Druid power platforms at Netflix, Airbnb, and Lyft.
• Professionals who have used batch systems like Redshift or BigQuery and need real time alternatives.
• Anyone curious about the technology stack behind real time analytics.

• Basic understanding of databases including tables, queries, and indexing is required.
• Knowledge of SQL is required, as Druid uses SQL like syntax.
• Basic Linux command line skills are required for installation.
• Familiarity with Docker is optional but helpful for the Windows setup.
• No prior Apache Druid experience is required.
• Some exposure to Big Data or analytics tools (Kafka, Spark, data warehouses) is optional.

Interested in exploring more lessons? Check out our full course library to continue building your skills and advancing your learning journey.