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ClickHouse - The Complete Guide (2023 Edition)

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Vijay Anand Ramakrishnan

4:19:03

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  • 1.1 code files.zip
  • 1. Prelude.html
  • 2. Course Introduction.mp4
    03:14
  • 3. Introduction to ClickHouse.mp4
    03:33
  • 4. Installing ClickHouse.mp4
    03:41
  • 5. ClickHouse in a Docker environment.mp4
    02:56
  • 6. Connecting to a ClickHouse Server.mp4
    03:37
  • 7. DBeaver.mp4
    03:27
  • 8. Conclusion.mp4
    00:20
  • 9. Introduction to ClickHouse.html
  • 1. ClickHouse SQL - Introduction.html
  • 2. Introduction.mp4
    02:39
  • 3. ClickHouse SQL.html
  • 4. Operators.mp4
    02:17
  • 5. ClickHouse Operators.html
  • 6. ClickHouse Data Types.mp4
    01:16
  • 7. Numeric Data Types.mp4
    03:06
  • 8. Numeric Data types.html
  • 9. String Data Types.mp4
    02:40
  • 10. String Data types.html
  • 11. Date and Datetime.mp4
    02:00
  • 12. DateDateTime.html
  • 13. Arrays and Tuples.mp4
    02:15
  • 14. Arrays and Tuples.html
  • 15. Nested Data Type.mp4
    02:00
  • 16. Nested Data Type.html
  • 17. Data Types for Low Cardinal Data.mp4
    03:30
  • 18. Enumerated and LowCardinality data types.html
  • 19. Data Query Language.mp4
    03:06
  • 20. DQL.html
  • 21. Data Manipulation Language.mp4
    04:29
  • 22. DML.html
  • 23. Data Definition Language - Part 1.mp4
    03:09
  • 24. Data Definition Language - Part 2.mp4
    03:21
  • 25. DDL.html
  • 26. Joins and Unions.mp4
    05:16
  • 27. Joins and Unions.html
  • 28. Views in ClickHouse.mp4
    03:17
  • 29. ClickHouse Views.html
  • 1. ClickHouse SQL Functions - Introduction.html
  • 2. Introduction.mp4
    01:37
  • 3. ClickHouse SQL Functions.html
  • 4. Data Type Conversion.mp4
    03:49
  • 5. Data type conversion.html
  • 6. Date and DateTime Functions.mp4
    06:50
  • 7. Date and DateTime functions.html
  • 8. String Functions.mp4
    09:09
  • 9. String Functions.html
  • 10. Array Functions.mp4
    05:56
  • 11. Array Functions.html
  • 12. JSON Functions.mp4
    02:40
  • 13. JSON Functions.html
  • 14. Aggregate Functions.mp4
    03:31
  • 15. Aggregate Functions.html
  • 16. Combinators for Aggregate Functions.mp4
    03:29
  • 17. Combinators.html
  • 18. User Defined Functions.mp4
    01:39
  • 19. User Defined Functions.html
  • 20. Window Functions.mp4
    04:36
  • 21. Window Functions.html
  • 1. MergeTree Family of Table Engines.html
  • 2. Introduction.mp4
    01:03
  • 3. Understanding the MergeTree Table Engine.mp4
    19:27
  • 4. MergeTree Engine.html
  • 5. ReplacingMergeTree.mp4
    05:56
  • 6. ReplacingMergeTree Engine.html
  • 7. SummingMergeTree.mp4
    04:05
  • 8. SummingMergeTree.html
  • 9. AggregatingMergeTree.mp4
    09:11
  • 10. AggregatingMergeTree.html
  • 11. CollapsingMergeTree.mp4
    09:18
  • 12. CollapsingMergeTree.html
  • 13. VersionedCollapsingMergeTree.mp4
    03:37
  • 14. VersionedCollapsingMergeTree.html
  • 15. Data Skipping Index.mp4
    11:11
  • 1. Log Family Table Engines.html
  • 2. Introduction.mp4
    00:54
  • 3. Log Family.html
  • 4. TinyLog Table Engine.mp4
    02:06
  • 5. TinyLog Engine.html
  • 6. Log Table Engine.mp4
    01:45
  • 7. Log Engine.html
  • 8. StripeLog Table Engine.mp4
    01:36
  • 9. StripeLog Engine.html
  • 1. Special Table Engines in ClickHouse.html
  • 2. Introduction.mp4
    00:41
  • 3. File Table Engine.mp4
    01:42
  • 4. File Engine.html
  • 5. Merge Table Engine.mp4
    01:56
  • 6. Merge Table Engine.html
  • 7. Set Table Engine.mp4
    01:30
  • 8. Set Engine.html
  • 9. Memory Table Engine.mp4
    01:47
  • 10. Memory Engine.html
  • 11. Buffer Table Engine.mp4
    03:31
  • 12. Buffer Engine.html
  • 13. GenerateRandom Table Engine.mp4
    01:26
  • 14. GenerateRandom Engine.html
  • 15. URL Table Engine.mp4
    02:12
  • 16. URL Engine.html
  • 1. Multi-node ClickHouse Setup.html
  • 2. Data Replication using ReplicatedMergeTree Engines.mp4
    07:06
  • 3. Data Replication in ClickHouse.html
  • 4. Data Sharding with Distributed Table Engine.mp4
    06:17
  • 5. Sharding.html
  • 1. External Data sources.html
  • 2. Introduction.mp4
    00:44
  • 3. MySQL.mp4
    02:31
  • 4. Integrating with MySQL.html
  • 5. PostgreSQL.mp4
    02:34
  • 6. PostgreSQL table engine.html
  • 7. MongoDB.mp4
    02:16
  • 8. MongoDB table engine.html
  • 9. Apache Kafka.mp4
    05:52
  • 10. Apache Kafka table engine.html
  • 1. Configuring and Administering a ClickHouse server.html
  • 2. Configuring the ClickHouse Server.mp4
    02:07
  • 3. Role Based Access Control.mp4
    01:17
  • 4. User Management.mp4
    03:32
  • 5. ClickHouse User Management.html
  • 6. Roles.mp4
    02:59
  • 7. ClickHouse User Roles.html
  • 8. Settings Profile.mp4
    02:59
  • 9. ClickHouse Settings Profile.html
  • 10. Quotas.mp4
    02:23
  • 11. ClickHouse Quotas.html
  • 12. ClickHouse Backups.mp4
    04:34
  • 13. Backups in ClickHouse.html
  • 14. System Tables.mp4
    06:21
  • 15. System tables.html
  • 16. clickhouse-copier.mp4
    06:46
  • 17. clickhouse-copier.html
  • 18. clickhouse-local.mp4
    01:29
  • 19. clickhouse-local.html
  • 20. clickhouse-benchmark.mp4
    02:01
  • 21. clickhouse-benchmark.html
  • 1. Congratulations.mp4
    01:56
  • Description


    Master the MergeTree table engines, ClickHouse SQL, Sharding & replication, ClickHouse Database Administration & more!!

    What You'll Learn?


    • 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

    Who is this for?


  • Database Administrators
  • Developers curious to know about ClickHouse
  • Data analysts and Data scientists planning to work with ClickHouse
  • Anyone who wants to learn ClickHouse
  • What You Need to Know?


  • Basic Linux commands
  • Fundamentals of SQL
  • Fundamentals of Docker
  • More details


    Description

    Learn ClickHouse, the fastest and the most powerful database that can handle Petabytes of data with ease ! 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

    • 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 MergeTree family of table engines and variants of this engine

    • Know the different special engines and Integrations with external data sources

    • Learn about the Data replication and Sharding in ClickHouse

    • Administer and manage a ClickHouse server

    This course will provide you with a solid practical Skills in ClickHouse  and it can be used as a learning material for the upcoming 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

    • 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.

    Who this course is for:

    • Database Administrators
    • Developers curious to know about ClickHouse
    • Data analysts and Data scientists planning to work with ClickHouse
    • Anyone who wants to learn ClickHouse

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    Vijay Anand Ramakrishnan
    Vijay Anand Ramakrishnan
    Instructor's Courses
    My name is Vijay Anand and I am working as a database consultant. I have been into multiple roles in the Software industry for the past 11+ years. I have authored a book on ClickHouse titled "Up and Running With ClickHouse".I am into creating online courses on new and promising Database systems in my spare time. I enjoy solving interesting problems with software and I am an Open-Source enthusiast.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 71
    • duration 4:19:03
    • Release Date 2023/06/16