Getting Started With ClickHouse (2023 Edition)

4h 38m 56s
English
Paid
November 5, 2024

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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# Title Duration
1 Course Introduction 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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