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ClickHouse: The Beginner's Guide

Name: ClickHouse: The Beginner's Guide
Rating: 4.4 (38 reviews)

Learn to Build Ultra-Fast Analytical OLAP Databases and Queries with ClickHouse

Created byNeetu Bhushan

Last updated 8/2025

English

English [Auto],

What you'll learn

Understand the fundamentals of ClickHouse and its columnar architecture
Install and configure ClickHouse on local machines and cloud environments
Write high-performance SQL queries to analyze massive datasets
Explore MergeTree engines and their variants: Summing, Aggregating, Replacing, Collapsing
Perform real-time analytics using ClickHouse with Apache Superset and Python
Design efficient schema models for real-time and analytical workloads

Course content

22 sections • 123 lectures • 11h 16m total length

Introduction to ClickHouse6:19
Why use ClickHouse over other Databases?8:23
Discover why ClickHouse outperforms traditional databases for analytics through columnar storage, advanced compression, vectorized execution, and scalable open-source design for real-time insights.
Why ClickHouse is Fast?6:54
Discover the architectural decisions that make ClickHouse fast, including columnar storage, vectorized processing, predicate pushdown, projection pruning, and automatic parallelization for scalable analytics.

Introduction11:25
Explore how the Clickhouse merge tree engine powers analytics by organizing data into three parts—newest, medium, oldest—and running background merges for compression and speed.
Column vs Row Based Storage5:58
Why it is called Merge Tree?8:17
Questions
Primary Index file8:40
Explore how Clickhouse's primary index uses sparse indexing with granules to enable fast lookups and enormous memory savings. See how a 50 kB index yields submillisecond queries on large tables.
Column (Bin) Files10:46
Questions
Mark Files9:34
Creating a Merge Tree table with Partitions6:32
Learn to create merge tree tables with partitioning in ClickHouse, implement time-based and categorical partitions, enable partition pruning, and leverage partition-level operations, backup, and storage optimizations for large analytical workloads.
Key Features and Benefits4:23
Questions

Select Queries3:48
Learn how to run select queries in ClickHouse, choosing specific columns or all rows, and apply upper and lower functions to standardize text and enable case-insensitive searches.
String Functions3:14
Distinct3:24
Aggregate Functions2:53
Alias4:58
Explore how ClickHouse aliases shorten long column and table names with select product name as name from product. Use aliases for multiple columns, tables, and constants to influence query results.
Concat4:16

Intergers6:09
Strings5:04
Explore how to filter string columns using the where clause in SQL, including equals, not equals, and combining conditions with and/or across product name and category to retrieve targeted results.
Booleans5:53
Between2:32
Dates6:56
Explore filtering by date columns using the where clause in sql queries, including equals, not equals, and, or, and comparisons such as greater than and less than on order date.
IN Examples3:24
Like5:35

Requirements

Basic knowledge of SQL – You should be familiar with simple SELECT statements, WHERE clauses, and basic joins

Description

Welcome to Mastering ClickHouse: The Beginner’s Guide

Your complete guide to building ultra-fast analytical systems using ClickHouse — one of the world’s fastest columnar databases!

Developed by Yandex and trusted by tech giants like Uber, Cloudflare, and Cisco, ClickHouse delivers lightning-speed performance on massive datasets — querying billions of rows in milliseconds. Whether you're a Data Engineer, Analyst, Backend Developer, or Database Administrator, this course will help you harness ClickHouse’s full power to build blazing-fast pipelines, dashboards, and analytics systems.

What You’ll Learn:

Understand ClickHouse architecture and core design principles
Install and configure ClickHouse on local machines or servers
Create and manage databases & tables using powerful storage engines
Write lightning-fast SQL queries for analytics and reporting
Optimize performance with MergeTree, Summing, Aggregating & Replacing engines
Integrate ClickHouse with Superset, Python, CSV, Parquet, and more
Monitor, secure, and productionize your ClickHouse deployment
Work with JSON, CSV, Avro, and external tables from URLs, JDBC, and files

Who This Course Is For:

Data Engineers building real-time, high-volume analytics pipelines
Backend Developers powering dashboards and metrics-heavy apps
BI Analysts & Professionals who need fast, flexible query capabilities
System Admins/DBAs managing scalable, high-performance data infra
SQL Users & RDBMS Experts transitioning to modern columnar systems

Technologies & Concepts Covered

ClickHouse SQL & performance tuning
MergeTree family: Summing, Replacing, Aggregating, Collapsing
External Tables: File, URL, JDBC
Dictionaries & Data Skipping Indexes
Ingesting JSON, CSV, Parquet, Avro
Monitoring, security & cluster setup
Docker-based installations
Integrations with Superset, Python, REST APIs

Why Learn ClickHouse?

Unlike general-purpose databases, ClickHouse is purpose-built for OLAP workloads. It’s engineered for speed, scalability, and real-time analytics, making it a top choice for modern data platforms. This course teaches you real-world techniques, best practices, and hands-on skills — not just theory.

Course Highlights

Beginner-Friendly – No prior ClickHouse experience needed
Hands-On Projects – Build real use cases with open datasets
Performance-Driven – Learn how ClickHouse achieves speed at scale
Practice-Rich – Quizzes, assignments, and labs to solidify learning
Career-Boosting – Skill up in a high-demand, modern analytics tool

Prerequisites

Basic understanding of SQL
Familiarity with databases or data warehousing is helpful (but not required)
No prior experience with ClickHouse is necessary

By the End of This Course...

You’ll be able to design, implement, and optimize scalable ClickHouse-based analytics systems — and confidently apply your skills in real-world, high-performance data projects.

Who this course is for:

Data Engineers who want to build scalable, real-time analytics pipelines using ClickHouse
Business Intelligence Professionals looking to speed up dashboards and reporting with massive datasets
Backend Developers integrating analytics features into high-performance applications
DevOps and Database Administrators managing ClickHouse in production environments
Students and Learners interested in modern data warehousing and OLAP systems

ClickHouse: The Beginner's Guide

What you'll learn

Explore related topics

Course content

Introduction3 lectures • 22min

Installation and Setup4 lectures • 17min

Tables3 lectures • 7min

Understanding Merge Tree8 lectures • 1hr 6min

SQL Fundamentals in ClickHouse6 lectures • 23min

Filters7 lectures • 36min

Sorting & Limit2 lectures • 10min

Group By & Having3 lectures • 12min

Conditional Functions3 lectures • 13min

Joins and subqueries4 lectures • 21min

Requirements

Description

Who this course is for: