https://github.com/apaichon/clickhouse-tutorial

Clickhouse Database Tutorial Workshop
https://github.com/apaichon/clickhouse-tutorial

Last synced: 9 months ago
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Clickhouse Database Tutorial Workshop

• Host: GitHub
• URL: https://github.com/apaichon/clickhouse-tutorial
• Owner: apaichon
• License: mit
• Created: 2024-03-05T02:57:52.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-25T03:57:24.000Z (over 1 year ago)
• Last Synced: 2024-06-20T21:02:48.951Z (over 1 year ago)
• Language: Go
• Size: 70.7 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Clickhouse Database Tutorial Workshop

Fastest and most resource efficient open-source database for real-time apps and analytics.

## Module 1 : Introduction

1.1 Overview

    - What is Clickhouse ?

    - Use cases and advantages

    - Comparison with other databases 

1.2 Installation and Setup

    - System requirements

    

    - Installation methods

1.3 Basic Concepts

    - Databases and Tables

    - Data types and Compression

    - Partitions and Sorting

    - Replication and Sharding

## Module 2 : ClickHouse Query Language (CHQL)

2.1 Basic Queries

    - Insert statement

    - SELECT statement

    - WHERE clause

    - ORDER BY and LIMIT

2.2 Advanced Queries

    - JOIN operations

    - Subqueries

    - Aggregation functions

2.3 Performance Optimization

    - Indexing

    - Query profiling

    - Using the EXPLAIN statement

## Module 3 : ClickHouse Data Modeling

3.1 Schema Design

    - Choosing the right data types

    - Designing efficient tables

    - Normalization and denormalization

3.2 Integration Methods

    - Using the ClickHouse client libraries

    - Integrating with admin tools

3.3 Data Transformation

    - Views

    - Materialized views

    - Aggregating tables

    - Custom transformations using SQL functions

    - Custom transformations using Other language

## Module 4 : ClickHouse Performance Tuning

    4.1 Indexing Strategies

    - Key indexing strategies

    - Indexing best practices

    4.2 Configuration Optimization

    - Memory settings

    - Disk settings

    - Query parallelism

    4.3 Monitoring and Diagnostics

    - System tables

    - Logs

    - Profiling

    - Using external monitoring tools