Udemy - Mastering ClickHouse - High-Performance Analytics at Scale

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size2.8 GB
  • Uploaded Byfreecoursewb
  • Downloads14
  • Last checkedJul. 11th '25
  • Date uploadedJul. 10th '25
  • Seeders 1
  • Leechers11

Infohash : 540630C39F375EE6798A3F49EA893F5BD5B29FB5

Mastering ClickHouse: High-Performance Analytics at Scale

https://WebToolTip.com

Published 7/2025
Created by Neetu Bhushan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 102 Lectures ( 9h 6m ) | Size: 2.8 GB

Learn to Build Ultra-Fast Analytical Databases and Queries with ClickHouse

What you'll learn
Understand ClickHouse architecture and why it's optimized for OLAP and real-time analytics
Load and export data in formats such as CSV, JSON, Parquet, and more
Create materialized views, partitions, sampling, TTLs, and indexes for efficient query performance
Use advanced table engines like ReplacingMergeTree, AggregatingMergeTree, and CollapsingMergeTree
Integrate ClickHouse with BI tools (like Superset) and scripting (e.g., Python)

Requirements
Basic knowledge of SQL – You should be familiar with simple SELECT statements, WHERE clauses, and basic joins

Files:

[ WebToolTip.com ] Udemy - Mastering ClickHouse - High-Performance Analytics at Scale
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1 - Introduction
    • 1 -Introduction to ClickHouse.mp4 (21.6 MB)
    • 2 -Why use ClickHouse over other Databases.mp4 (26.8 MB)
    • 3 -Key Features and Benefits.mp4 (15.8 MB)
    • 4 -Why ClickHouse is Fast.mp4 (22.9 MB)
    10 - Joins and subqueries
    • 1 -Inner Join.mp4 (37.6 MB)
    • 2 -Left Join.mp4 (32.7 MB)
    • 3 -Right Join.mp4 (29.5 MB)
    • 4 -Inner Queries (sub-queries).mp4 (41.7 MB)
    11 - Union & Intersect
    • 1 -Union.mp4 (20.1 MB)
    • 2 -Union All.mp4 (13.5 MB)
    • 3 -Intersect.mp4 (17.7 MB)
    12 - DML Operations
    • 1 -Create and Insert into Tables.mp4 (19.1 MB)
    • 2 -Insert into Tables Experiments.mp4 (23.5 MB)
    • 3 -Update Records.mp4 (23.9 MB)
    • 4 -Delete Records.mp4 (23.9 MB)
    • 5 -Alter Table.mp4 (28.9 MB)
    13 - Advanced SQL Features
    • 1 -Views.mp4 (42.6 MB)
    • 2 -CATS.mp4 (45.4 MB)
    • 3 -Create Table using AWS S3 Parquet Files.mp4 (34.2 MB)
    • 4 -Create Table using CSV File.mp4 (47.1 MB)
    • 5 -Dynamic Column Selection.mp4 (27.8 MB)
    • 6 -Backend Metadata and Data Folders.mp4 (39.5 MB)
    14 - Common Table Expressions (CTEs)
    • 1 -CTEs Select.mp4 (30.0 MB)
    • 2 -CTEs Filters.mp4 (24.0 MB)
    • 3 -CTEs Union All.mp4 (14.6 MB)
    • 4 -CTEs Recursive Generate Numbers.mp4 (13.7 MB)
    • 5 -CTEs Recursive Even Numbers.mp4 (8.1 MB)
    • 6 -CTEs Recursive Fibonacci Number.mp4 (12.4 MB)
    • 7 -CTEs Recursive Hierarchical.mp4 (39.6 MB)
    15 - Arrays
    • 1 -Introduction of Arrays.mp4 (52.3 MB)
    • 2 -Aggregate Function With Arrays.mp4 (21.7 MB)
    16 - MergeTree Family Tree Engines
    • 1 -Types of Trees in Clickhouse.mp4 (23.4 MB)
    • 10 -Collapsing Merge Tree Example.mp4 (29.8 MB)
    • 11 -Versioned Collapsing Merge Tree.mp4 (23.2 MB)
    • 12 -Versioned Collapsing Merge Tree Example.mp4 (29.4 MB)
    • 13 -Data Skipping Index.mp4 (23.9 MB)
    • 14 -Data Skipping Index Example.mp4 (20.6 MB)
    • 15 -Choosing the Merge Tree Table Engine.mp4 (25.5 MB)
    • 16 -When to choose ClickHouse and When NOT.mp4 (25.8 MB)
    • 17 -File Table Engine Example.mp4 (24.3 MB)
    • 18 -Set Table Engine.mp4 (21.0 MB)
    • 19 -Memory Table Engine.mp4 (24.5 MB)
    • 2 -Columnar storage advantages.mp4 (27.2 MB)
    • 20 -URL Table Engine.mp4 (32.6 MB)
    • 21 -Dictionaries.mp4 (25.9 MB)
    • 22 -Log Engines.mp4 (18.0 MB)
    • 3 -Aggregating Merge Tree.mp4 (24.3 MB)
    • 4 -Aggregating Merge Tree Example.mp4 (55.1 MB)
    • 5 -Summing Merge Tree.mp4 (23.4 MB)
    • 6 -Summing Merge Tree Example.mp4 (39.0 MB)
    • 7 -Replacing Merge Tree.mp4 (22.0 MB)
    • 8 -Replacing Merge Tree Example.mp4 (31.7 MB)
    • 9 -Collapsing Merge Tree.mp4 (22.6 MB)
    17 - Clickhouse Cluster
    • 1 -Cluster Introduction.mp4 (18.6 MB)
    • 2 -Why Clustering.mp4 (16.5 MB)
    • 3 -Key Components.mp4 (19.1 MB)
    • 4 -Create Cluster 4 Machines.mp4 (36.8 MB)
    • 5 -Cluster DBeaver Connection.mp4 (12.1 MB)
    • 6 -Cluster Queries Create Tables.mp4 (22.9 MB)
    • 7 -Users and Roles.mp4 (29.0 MB)
    18 - Apache Superset Dashboard with ClickHouse
    • 1 -Introduction to Apache Superset.mp4 (42.3 MB)
    • 2 -What is Apache Superset.mp4 (39.4 MB)
    • 3 -Key Features and Capabilities.mp4 (73.8 MB)
    • 4 -Superset vs Other BI Tools.mp4 (94.2 MB)
    • 5 -Installing Superset using Docker (Recommended).mp4 (39.8 MB)
    • 6 -Installing Superset using Python.mp4 (40.2 MB)
    • 7 -Understanding Superset Architecture.mp4 (38.1 MB)
    • 8 -Navigating the Superset Interface.mp4 (20.7 MB)
    2 - Installation and Setup
    • 1 -Installation Mac OS.mp4 (21.6 MB)
    • 2 -Installation DBeaver Mac OS.mp4 (14.6 MB)
    • 3 -Installation with Docker.mp4 (20.0 MB)
    • 4 -Clickhouse Native Local UI.mp4 (17.4 MB)
    3 - Tables
    • 1 - Course Materials.html (0.4 KB)
    • 1 -Base Tables.mp4 (35.2 MB)
    • 2 -Create & Drop Table.mp4 (15.5 MB)
    • Commands 1. Tables
      • 1 Create Statement.sql (0.6 KB)
      10. Advance SQL Function
      • 1. Dynamic column selection.sql (0.1 KB)
      • 2. CATS.sql (0.5 KB)
      • 3. View.sql (0.2 KB)
      11. Window Functions
      • 1. Introduction And Row Number.sql (1.2 KB)
      • 2. Rank & Dense Rank Functions.sql (1.7 KB)
      • 3. Aggregates Functions.sql (1.1 KB)
      • 4. Finding Duplicates.sql (0.8 KB)
      12. CTEs
      • 1. CTEs Select.sql (0.3 KB)
      • 2. CTEs Filter.sql (0.6 KB)
      • 3. CTEs Union All.sql (0.3 KB)
      • 4. CTEs Recursive Generate Numbers.sql (0.1 KB)
      • 5. CTEs Recursive Even Numbers.sql (0.2 KB)
      • 6. CTEs Recursive Fibonacci Numbers.sql (0.2 KB)
      • 7. CTEs recursive HIerarchical.sql (0.4 KB)
      13. Arrays
      • 1. Introduction of Arrays.sql (0.6 KB)
      • 2. Aggregate Function With Arrays.sql (0.2 KB)
      • 3. Filters With Arrays.sql (0.2 KB)
      14. Create table
      • 1.Create Database & Table.sql (0.2 KB)
      • 2. Read Csv File.sql (0.4 KB)
      • 3. Aggregate MergeTree.sql (0.3 KB)
      15. S3 File
      • 1. Reading S3 F

Code:

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