Learn ClickHouse® - A Fast Open-Source OLAP DBMS from Udemy

Learn ClickHouse®, the fastest and the most powerful database that can easily handle Petabytes of data. ClickHouse is an Open-Source columnar data store developed by ClickHouse Inc. Some of the highlights of this course are

All lectures have been designed from the ground up to make the complex topics easy to understand
300+ SQL examples demonstrated in the video lectures
Precise and informative video lectures
200 + Quiz questions and counting
Assignments
Covers a wide range of topics in ClickHouse

After completing this course, you will be able to

Install and work with ClickHouse
Query the data using ClickHouse SQL
Understand the internals of the MergeTree family of table engines and variants of this engine
Know the different special engines and Integrations with external data sources
Learn about Data replication and Sharding in ClickHouse
Administer and manage a ClickHouse server

This course will provide you with solid practical Skills in ClickHouse and it can be used as learning material for the ClickHouse® certifications. The instructor is an experienced ClickHouse professional and has authored a book on ClickHouse and conducted multiple live training sessions in ClickHouse.

This course will be updated periodically and enroll now to get lifelong access to this course.

Course Update History

17-01-2025 - Added new videos on ClickHouse Quick Start and Why ClickHouse is fast. Replaced the old videos for ClickHouse integration engines with new/updated ones. Added new video on S3 & S3 Queue engine
27-11-2024 - Removed the Optional Chapter on SQL functions
06-10-2024 - Cleaned up the old videos on Log table engine. Added a new video on choosing the MergeTree table engine.
02-10-2024 - Added a new video on ClickHouse on Kubernetes (using Altinity ClickHouse Operator). Updated the video lectures on the first chapter
01-07-2024 - Replaced the old video lectures on Special table engines. Added a new video for Dictionaries in ClickHouse. Combined the sections on Log engines and special table engines into a single section.
22-06-2024 - Replaced the video lectures on Data replication and Sharding with updated content
25-05-2024 - Added a separate section for RBAC. Updated the videos on RBAC and the section on ClickHouse Administration.
04-05-2024 - Replaced the old video lectures on the MergeTree engine family with the new ones
11-02-2024 - Added a new section on ClickHouse SQL. Replaced the old videos for ClickHouse data types.
14-01-2024 - Added a brand new section on MergeTree table engine basics. Contains ~44 minutes of new course content with 11 Video lectures.
12-09-2023 - Brand new videos in Section 1 (Installation, CH in Docker, connecting to CH server, DBeaver, Loading a dataset, and conclusion)
03-08-2023 - New course promo video and a new video on Course intro and ClickHouse Intro (Section 1)
01-08-2023 - Added an assignment on ClickHouse MergeTree engines
16-07-2023 - Added an assignment on ClickHouse SQL functions
04-07-2023 - Added an assignment on ClickHouse SQL - Part 1
25-06-2023 - Split the MergeTree table engine video lecture into three parts
11-06-2023 - Added quiz on Geo data types, map data type, and data skipping indexes
08-05-2023 - Added video lectures on Geo and Map data types. Added an exercise on designing a table.

Disclaimer: All trademarks, logos, and brand names are the property of their respective owners. All company, product, and service names used in this course are for identification purposes only. Use of these names, trademarks, and brands does not imply endorsement. Golden Clover Education and the instructors of this course are not affiliated with ClickHouse Inc.

What's inside

Learning objectives

Installing and connecting to a clickhouse server
Clickhouse sql & sql functions
Table engines and indexing in clickhouse

Data replication and sharding in clickhouse
Clickhouse database administration (basics)

Installing and connecting to a clickhouse server
Clickhouse sql & sql functions
Table engines and indexing in clickhouse
Data replication and sharding in clickhouse
Clickhouse database administration (basics)

Syllabus

Introduction

Prelude

Course Introduction

Introduction to ClickHouse

Test your knowledge on ClickHouse introduction

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers data replication and sharding, which are essential for managing large datasets and ensuring high availability in distributed database systems

Features over 300 SQL examples, which provides extensive hands-on experience for querying and manipulating data within ClickHouse

Explores integrations with external data sources, enabling learners to connect ClickHouse with various systems and build comprehensive data pipelines

Includes content updated in 2024 covering ClickHouse on Kubernetes, which is relevant for modern cloud-native deployments

Focuses on the MergeTree family of table engines, which are core to ClickHouse's performance and data organization, and are essential for efficient data storage and retrieval

Teaches ClickHouse administration, which is necessary for managing and maintaining ClickHouse servers in production environments

Reviews summary

Comprehensive practical guide to clickhouse

According to learners, this course is a largely positive and comprehensive guide to ClickHouse, particularly strong on practical skills. Students highlight the instructor's deep knowledge and the course's focus on explaining complex topics like the MergeTree engine family in an accessible way. The inclusion of numerous SQL examples and hands-on activities is frequently praised for solidifying understanding. Reviewers also appreciate the regular course updates, which keep the content relevant. While many find it an excellent foundation, some suggest that certain advanced topics could benefit from deeper coverage.

Content is kept current with updates.

"It's great that the course is regularly updated with new content and replacements."

"The recent updates added valuable videos on key topics."

"Knowing the course is maintained makes it a worthwhile long-term investment."

"Instructor adds new lessons to keep up with ClickHouse changes."

Detailed explanation of MergeTree.

"The section on the MergeTree engine and its variants was particularly strong and helped me understand internals."

"Learned how data is stored and retrieved in MergeTree tables."

"Comprehensive coverage of the most important table engines like MergeTree, SummingMergeTree, etc."

"Understanding the different engine types was made clear."

Instructor demonstrates deep expertise.

"The instructor is clearly an expert and explains complex ideas very well."

"Lectures are precise and informative, reflecting the instructor's knowledge."

"His background and experience with ClickHouse shine through the material."

"The instructor's command of the subject matter made the course highly credible."

Strong focus on practical application.

"This course gave me solid practical skills in ClickHouse that I could use immediately."

"The hands-on coding examples and demonstrations were incredibly helpful."

"I appreciated the focus on real-world SQL examples throughout the lectures."

"Provides a great practical foundation for working with ClickHouse."

Initial setup can be difficult.

"I encountered some difficulties following the installation instructions."

"Setting up ClickHouse locally required some troubleshooting for me."

"The Docker section was helpful, but the main installation could be smoother for some."

"Had a bit of a struggle getting the environment set up initially."

Some topics could be more advanced.

"While it's a good foundation, I wished for a deeper dive into performance tuning and advanced optimization."

"Some advanced features are only briefly touched upon."

"Could use more in-depth coverage on complex topics or optimization techniques."

"Great for beginners, but perhaps not enough for seasoned ClickHouse users looking for advanced tips."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Learn ClickHouse® - A Fast Open-Source OLAP DBMS with these activities:

Review SQL Fundamentals

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Reinforce your understanding of SQL fundamentals, as ClickHouse SQL builds upon these concepts. This will help you grasp the nuances of ClickHouse's specific SQL dialect more easily.

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Review basic SQL syntax and commands.
Practice writing simple SQL queries.
Familiarize yourself with common SQL data types.

Read 'ClickHouse for OLAP'

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Deepen your understanding of ClickHouse by reading a dedicated book on the subject. This will provide a broader perspective and reinforce the concepts learned in the course.

View Putting Knowledge to Work on Amazon

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Obtain a copy of 'ClickHouse for OLAP'.
Read the book, focusing on chapters relevant to the course syllabus.
Take notes and highlight key concepts.

Write a Blog Post on ClickHouse Table Engines

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Solidify your understanding of ClickHouse table engines by writing a blog post explaining their different types and use cases. This will force you to organize your knowledge and communicate it effectively.

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Choose a specific ClickHouse table engine to focus on.
Research the engine's features, benefits, and limitations.
Write a clear and concise blog post explaining the engine.
Include examples and use cases to illustrate the engine's functionality.

Four other activities

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Optimize ClickHouse Queries

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Improve your query optimization skills by practicing with different datasets and query patterns. This will help you write efficient ClickHouse SQL and improve performance.

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Identify slow-running queries in your ClickHouse environment.
Analyze the query execution plan.
Experiment with different indexing strategies and query rewrites.
Measure the performance improvement after each optimization.

Build a Data Dashboard with ClickHouse

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Apply your ClickHouse knowledge by building a data dashboard. This hands-on project will solidify your understanding of data ingestion, querying, and visualization using ClickHouse.

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Choose a dataset relevant to your interests.
Ingest the data into ClickHouse.
Design and implement SQL queries to extract meaningful insights.
Create a dashboard to visualize the data.

Explore 'Data Warehousing with ClickHouse'

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Gain a deeper understanding of data warehousing principles and how they apply to ClickHouse by reading a book dedicated to this topic. This will enhance your ability to design and implement effective data warehousing solutions.

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Obtain a copy of 'Data Warehousing with ClickHouse'.
Read the book, focusing on chapters relevant to data modeling and ETL.
Consider how the concepts apply to your own data warehousing projects.

Contribute to the ClickHouse Documentation

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Improve your understanding of ClickHouse by contributing to its open-source documentation. This will require you to research specific features and explain them clearly to others.

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Identify areas in the ClickHouse documentation that need improvement.
Research the relevant features and concepts.
Write clear and concise documentation updates.
Submit your changes to the ClickHouse project.

Career center

Learners who complete Learn ClickHouse® - A Fast Open-Source OLAP DBMS will develop knowledge and skills that may be useful to these careers:

Database Administrator

A Database Administrator (DBA) is responsible for the performance, integrity, and security of a database system. This encompasses installation, configuration, monitoring, and maintenance of databases. This course may help Database Administrators by providing hands-on experience with ClickHouse. The course content on installation, ClickHouse SQL, understanding table engines, data replication, and sharding directly translates to essential DBA tasks. The section on ClickHouse administration equips DBAs with the knowledge to manage ClickHouse servers effectively. Furthermore, the coverage of special engines and integrations can expand a DBA's toolkit for handling diverse data storage needs. This course is beneficial for learning the fundamentals of ClickHouse database systems.

See salaries and explore the career path for Database Administrator

SQL Developer

An SQL Developer writes and maintains SQL code for database applications. This involves creating stored procedures, triggers, and functions, as well as optimizing queries for performance. This course may help SQL Developers by sharpening their skills in ClickHouse SQL. The course focuses on ClickHouse SQL, including data definition, data querying, and data manipulation which are essential for any SQL Developer. Understanding table engines and indexing can also help in optimizing query performance. Through this course, an SQL Developer will gain specific, applicable skills in ClickHouse and will be able to immediately apply them to their current role. It is essential for an SQL developer to have a solid foundation in SQL, and this course provides a great introduction to ClickHouse SQL.

See salaries and explore the career path for SQL Developer

Data Engineer

A Data Engineer designs, builds, and maintains data pipelines and infrastructure. This role involves extracting, transforming, and loading data from various sources into a data warehouse, data lake, or other analytical platforms. This course may help Data Engineers by providing them with practical skills in ClickHouse, a fast and powerful database system, for efficient data storage and retrieval. The course covers installation, querying using ClickHouse SQL, understanding MergeTree family of table engines, and data replication and sharding, all crucial for managing large datasets. A Data Engineer will benefit from the course's ClickHouse administration training and its information about integrating ClickHouse with external data sources.

See salaries and explore the career path for Data Engineer

Analytics Engineer

An Analytics Engineer focuses on transforming raw data into usable datasets for analysis. This involves building and maintaining data pipelines, creating data models, and ensuring data quality. This course helps Analytics Engineers by providing them with the skills to use ClickHouse for efficient data transformation and storage. The course covers ClickHouse SQL, which is essential for querying and manipulating data. Furthermore, understanding ClickHouse's table engines allows Analytics Engineers to optimize data storage and retrieval for analytical workloads. The course's curriculum is well-suited for enhancing the capabilities of an Analytics Engineer.

See salaries and explore the career path for Analytics Engineer

Data Warehouse Architect

A Data Warehouse Architect designs and oversees the construction of a data warehouse, including selecting appropriate technologies, defining data models, and ensuring data quality. This role requires a deep understanding of database systems, data integration techniques, and data warehousing best practices. This course helps Data Warehouse Architects gain expertise in ClickHouse, a high-performance OLAP database management system. The course covers key aspects of ClickHouse, such as table engines, data replication, and sharding, which are critical for designing scalable and reliable data warehouses. The knowledge gained on integrating ClickHouse with external data sources is also valuable for building comprehensive data warehouses.

See salaries and explore the career path for Data Warehouse Architect

Data Architect

A Data Architect designs and implements data management systems, ensuring that data is stored, processed, and accessed efficiently and securely. This role requires a broad understanding of database technologies, data modeling techniques, and data governance principles. This course helps Data Architects by providing them with practical skills in ClickHouse. The course covers ClickHouse SQL, table engine internals, data replication, and sharding, which are critical for designing scalable and resilient data architectures. The section on ClickHouse administration equips Data Architects with the knowledge to manage ClickHouse servers effectively.

See salaries and explore the career path for Data Architect

Data Analyst

A Data Analyst examines data to identify trends, answer questions, and provide actionable insights. They use SQL and other tools to query databases, perform statistical analysis, and create visualizations. This course may help Data Analysts by equipping them with the skills to effectively use ClickHouse for data analysis. The course's focus on ClickHouse SQL, including data querying and manipulation, directly supports a Data Analyst's daily tasks. Understanding table engines helps optimize query performance, while knowledge of data replication and sharding ensures data availability and scalability. The course materials may assist analysts in extracting valuable insights from large datasets stored in ClickHouse.

See salaries and explore the career path for Data Analyst

Performance Engineer

A Performance Engineer analyzes and optimizes system performance, identifying bottlenecks and implementing solutions to improve efficiency. The role requires expertise in database systems, query optimization, and system tuning. This course helps Performance Engineers by providing in-depth knowledge of ClickHouse internals and optimization techniques. The course covers ClickHouse table engines, indexing strategies, and query optimization techniques. The insights gained from this course can be directly applied to improve the performance of ClickHouse-based systems.

See salaries and explore the career path for Performance Engineer

ETL Developer

An ETL Developer designs, develops, and maintains processes to extract, transform, and load data from various sources into a data warehouse or data lake. This involves using ETL tools and writing code to cleanse, transform, and load data. This course may help ETL Developers by providing them with insights into using ClickHouse as a target database for ETL processes. The course covers ClickHouse SQL, table engines, and data replication, which are all relevant to efficiently loading and managing data in ClickHouse. The knowledge gained about integrating ClickHouse with external data sources can also be useful for building ETL pipelines that extract data from diverse sources.

See salaries and explore the career path for ETL Developer

Business Intelligence Analyst

A Business Intelligence Analyst works to identify, analyze, and present data in a way that informs business decisions. This often involves creating dashboards and reports using BI tools, as well as querying databases to extract relevant data. This course may help Business Intelligence Analysts gain proficiency in using ClickHouse as a data source for their analysis. The course's coverage of ClickHouse SQL, including data querying and data manipulation, directly applies to extracting data for BI reports. Understanding ClickHouse's architecture and table engines aids in optimizing query performance. Furthermore, the ability to integrate ClickHouse with other data sources can enhance the breadth of data available for analysis.

See salaries and explore the career path for Business Intelligence Analyst

Solutions Architect

A Solutions Architect designs and implements IT solutions to address specific business problems. This includes selecting appropriate technologies, defining system architectures, and ensuring that solutions meet business requirements. This course may help Solutions Architects by broadening their knowledge of database options and providing them with the skills to incorporate ClickHouse into their solutions. Understanding ClickHouse's capabilities, such as its high-performance data processing and scalability features, allows Solutions Architects to design solutions that can handle large datasets. Knowledge of table engines, data replication, and sharding aids in building robust and reliable data storage systems.

See salaries and explore the career path for Solutions Architect

Cloud Architect

A Cloud Architect is responsible for designing, building, and managing cloud-based infrastructure and services. This involves selecting cloud providers, defining cloud architectures, and ensuring that cloud solutions are secure, scalable, and cost-effective. This course helps Cloud Architects by providing them with practical skills in deploying and managing ClickHouse in cloud environments. The course covers ClickHouse installation, configuration, and administration, which are important for setting up ClickHouse on cloud platforms. Understanding data replication and sharding is also critical for building scalable and resilient cloud-based data storage systems.

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Data Science Manager

A Data Science Manager leads a team of data scientists, providing guidance on project execution, technical direction, and career development. They are also responsible for defining data science strategies and ensuring that data science initiatives align with business goals. This course may help Data Science Managers by enhancing their understanding of ClickHouse and its potential applications in data science projects. The course covers ClickHouse SQL, table engines, and data replication, which are relevant to managing data storage and retrieval for data science workloads. The knowledge gained about integrating ClickHouse with external data sources can also be useful for expanding the range of data available to data scientists.

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Machine Learning Engineer

A Machine Learning Engineer develops, deploys, and maintains machine learning models. This involve tasks such as feature engineering, model training, and model evaluation. This course may help Machine Learning Engineers by providing them with practical skills in using ClickHouse for data storage and retrieval in machine learning pipelines. The course covers ClickHouse SQL, table engines, and data replication, which are relevant to efficiently managing large datasets used for training machine learning models. ETL developers often need advanced degrees.

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Data Governance Manager

A Data Governance Manager establishes and enforces data governance policies and procedures, ensuring that data is accurate, consistent, and compliant with regulations. This role requires an understanding of data quality, data security, and data privacy principles. This course may help Data Governance Managers by providing them with insights into how ClickHouse can be used to support data governance initiatives. The course covers data replication and sharding, which are relevant to ensuring data availability and integrity. The insights from this course may assist in compliance and policy creation for ClickHouse.

See salaries and explore the career path for Data Governance Manager

Learn ClickHouse® - A Fast Open-Source OLAP DBMS

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What's inside

Learning objectives

Syllabus

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Reviews summary

Comprehensive practical guide to clickhouse

Activities

Career center

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