Getting Started With ClickHouse (2023 Edition)
4h 38m 56s
English
Paid
Course 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 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 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!
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Watch Online Getting Started With ClickHouse (2023 Edition)
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/ #1: Course Introduction
All Course Lessons (77)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Course Introduction Demo | 04:27 | |
| 2 | Introduction to ClickHouse | 04:37 | |
| 3 | Installing ClickHouse | 06:26 | |
| 4 | ClickHouse in a Docker environment | 03:12 | |
| 5 | Connecting to a ClickHouse Server | 03:41 | |
| 6 | DBeaver | 03:05 | |
| 7 | Loading an Example dataset (Optional) | 02:53 | |
| 8 | Conclusion | 01:03 | |
| 9 | Introduction | 02:40 | |
| 10 | Operators | 02:18 | |
| 11 | ClickHouse Data Types | 01:17 | |
| 12 | Numeric Data Types | 03:08 | |
| 13 | String Data Types | 02:42 | |
| 14 | Date and Datetime | 02:01 | |
| 15 | Arrays and Tuples | 02:17 | |
| 16 | Nested Data Type | 02:01 | |
| 17 | Data Types for Low Cardinal Data | 03:31 | |
| 18 | Geo Data Types | 03:00 | |
| 19 | Map Data Type | 02:19 | |
| 20 | Data Query Language | 03:07 | |
| 21 | Data Manipulation Language | 04:30 | |
| 22 | Data Definition Language - Part 1 | 03:10 | |
| 23 | Data Definition Language - Part 2 | 03:22 | |
| 24 | Joins and Unions | 05:17 | |
| 25 | Views in ClickHouse | 03:18 | |
| 26 | Exercise - Data Types | 04:41 | |
| 27 | Introduction | 01:38 | |
| 28 | Data Type Conversion | 03:51 | |
| 29 | Date and DateTime Functions | 06:51 | |
| 30 | String Functions | 09:10 | |
| 31 | Array Functions | 05:57 | |
| 32 | JSON Functions | 02:41 | |
| 33 | Aggregate Functions | 03:32 | |
| 34 | Combinators for Aggregate Functions | 03:30 | |
| 35 | User Defined Functions | 01:40 | |
| 36 | Window Functions | 04:38 | |
| 37 | Introduction | 01:04 | |
| 38 | MergeTree Engine - Introduction | 06:50 | |
| 39 | More on MergeTree Engine | 05:47 | |
| 40 | Operations on MergeTree Table Partitions | 06:56 | |
| 41 | ReplacingMergeTree | 05:57 | |
| 42 | SummingMergeTree | 04:06 | |
| 43 | AggregatingMergeTree | 09:12 | |
| 44 | CollapsingMergeTree | 09:19 | |
| 45 | VersionedCollapsingMergeTree | 03:38 | |
| 46 | Data Skipping Index | 11:12 | |
| 47 | Introduction | 00:56 | |
| 48 | TinyLog Table Engine | 02:07 | |
| 49 | Log Table Engine | 01:46 | |
| 50 | StripeLog Table Engine | 01:37 | |
| 51 | Introduction | 00:42 | |
| 52 | File Table Engine | 01:43 | |
| 53 | Merge Table Engine | 01:57 | |
| 54 | Set Table Engine | 01:31 | |
| 55 | Memory Table Engine | 01:48 | |
| 56 | Buffer Table Engine | 03:32 | |
| 57 | GenerateRandom Table Engine | 01:27 | |
| 58 | URL Table Engine | 02:13 | |
| 59 | Data Replication using ReplicatedMergeTree Engines | 07:07 | |
| 60 | Data Sharding with Distributed Table Engine | 06:18 | |
| 61 | Introduction | 00:45 | |
| 62 | MySQL | 02:32 | |
| 63 | PostgreSQL | 02:36 | |
| 64 | MongoDB | 02:17 | |
| 65 | Apache Kafka | 05:54 | |
| 66 | Configuring the ClickHouse Server | 02:08 | |
| 67 | Role Based Access Control | 01:18 | |
| 68 | User Management | 03:33 | |
| 69 | Roles | 03:00 | |
| 70 | Settings Profile | 03:00 | |
| 71 | Quotas | 02:24 | |
| 72 | ClickHouse Backups | 04:35 | |
| 73 | System Tables | 06:22 | |
| 74 | clickhouse-copier | 06:47 | |
| 75 | clickhouse-local | 01:30 | |
| 76 | clickhouse-benchmark | 02:02 | |
| 77 | Congratulations | 01:57 |
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