Learn to Build Ultra-Fast Analytical Databases and Queries with ClickHouse
What you’ll learn
- Understand ClickHouse architecture and why it’s optimized for OLAP and real-time analytics.
- Load and export data in formats such as CSV, JSON, Parquet, and more.
- Create materialized views, partitions, sampling, TTLs, and indexes for efficient query performance.
- Use advanced table engines like ReplacingMergeTree, AggregatingMergeTree, and CollapsingMergeTree.
- Integrate ClickHouse with BI tools (like Superset) and scripting (e.g., Python).
Course Content
- Introduction –> 3 lectures • 21min.
- Installation and Setup –> 4 lectures • 17min.
- Tables –> 3 lectures • 7min.
- Understanding Merge Tree –> 8 lectures • 1hr.
- SQL Fundamentals in ClickHouse –> 6 lectures • 23min.
- Filters –> 7 lectures • 36min.
- Sorting & Limit –> 2 lectures • 10min.
- Group By & Having –> 3 lectures • 16min.
- Conditional Functions –> 3 lectures • 13min.
- Joins and subqueries –> 4 lectures • 21min.
- Union & Intersect –> 3 lectures • 10min.
- DML Operations –> 5 lectures • 21min.
- Advanced SQL Features –> 6 lectures • 38min.
- Common Table Expressions (CTEs) –> 7 lectures • 22min.
- Arrays –> 2 lectures • 12min.
- MergeTree Family Tree Engines –> 22 lectures • 2hr 13min.
- Clickhouse Cluster –> 8 lectures • 39min.
- Clickhouse Cloud –> 7 lectures • 37min.
- Apache Superset: Dashboard with ClickHouse –> 8 lectures • 1hr.
Requirements
Welcome to “Mastering ClickHouse: High-Performance Analytics at Scale” – your comprehensive guide to one of the fastest columnar databases in the world!
ClickHouse, developed by Yandex, is trusted by companies like Uber, Cloudflare, and Cisco for lightning-fast analytics on billions of rows. Whether you’re a data engineer, analyst, backend developer, or database administrator, this course will help you unlock ClickHouse’s full potential and build blazing-fast data pipelines, dashboards, and analytics systems.
What You’ll Learn:
Understand the architecture and core principles behind ClickHouse
Install and configure ClickHouse on your local machine or server
Create and manage databases and tables with various engines
Perform fast analytical queries with SQL and advanced expressions
Optimize performance using Merge Tree family engines
Leverage advanced features: materialized views, TTLs, partitions, and sampling
Integrate ClickHouse with tools like Superset, Python, and CSV/Parquet
Monitor and secure your ClickHouse cluster for production readiness
Who This Course is For:
- Data Engineers looking to build real-time and high-volume analytics pipelines
- Developers who want to use ClickHouse as a backend for analytics-heavy applications
- BI Professionals and Analysts needing fast dashboards and ad-hoc querying
- System Administrators managing ClickHouse in a production environment
- Anyone transitioning from traditional RDBMS to columnar databases
Technologies Covered:
- ClickHouse SQL
- MergeTree, Replacing Merge Tree, Aggregating Merge Tree, Collapsing Merge Tree
- External Tables (File, URL, JDBC)
- Dictionaries and Data Skipping Indexes
- JSON, CSV, Parquet, Avro
- Monitoring & performance tuning
- Docker & local installation options
- Basic integrations with Superset, Python, and REST
Why Take This Course?
Unlike other general-purpose databases, ClickHouse is designed from the ground up for OLAP workloads. It’s built for speed, and once you understand how it works, you’ll see dramatic performance improvements for reporting, dashboards, and analytics.
This course is built with real-world examples, best practices, and hands-on demos. We’ll go beyond theory and help you gain practical skills that are immediately useful.
Course Highlights:
Beginner-Friendly: Start from scratch, no prior ClickHouse experience needed
Hands-On Projects: Follow along with real datasets and use cases
Performance-Driven: Learn the internals of how ClickHouse achieves high speed
Tons of Practice: Quizzes, assignments, and labs to reinforce concepts
Career-Boosting: Skill up with a high-demand analytics technology
Prerequisites:
- Basic understanding of SQL
- Familiarity with databases and data warehousing concepts is helpful but not required
- No prior ClickHouse experience necessary
By the end of this course, you’ll be able to design, build, and optimize ClickHouse-based solutions for large-scale analytics — with confidence and speed.
Enroll now and take your data analytics skills to the next level with ClickHouse!