Mastering Clickhouse: High-Performance Analytics At Scale
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
Description
Welcome to "Mastering ClickHouse: High-Performance Analytics at Scale" - your comprehensive guide to one of the fastest columnar databases in the world!ClickHouse, developed by Yandex, is trusted by companies like Uber, Cloudflare, and Cisco for lightning-fast analytics on billions of rows. Whether you're a data engineer, analyst, backend developer, or database administrator, this course will help you unlock ClickHouse's full potential and build blazing-fast data pipelines, dashboards, and analytics systems.What You'll Learn:Understand the architecture and core principles behind ClickHouseInstall and configure ClickHouse on your local machine or serverCreate and manage databases and tables with various enginesPerform fast analytical queries with SQL and advanced expressionsOptimize performance using Merge Tree family enginesLeverage advanced features: materialized views, TTLs, partitions, and samplingIntegrate ClickHouse with tools like Superset, Python, and CSV/ParquetMonitor and secure your ClickHouse cluster for production readinessWho This Course is For
ata Engineers looking to build real-time and high-volume analytics pipelinesDevelopers who want to use ClickHouse as a backend for analytics-heavy applicationsBI Professionals and Analysts needing fast dashboards and ad-hoc queryingSystem Administrators managing ClickHouse in a production environmentAnyone transitioning from traditional RDBMS to columnar databasesTechnologies Covered:ClickHouse SQLMergeTree, Replacing Merge Tree, Aggregating Merge Tree, Collapsing Merge TreeExternal Tables (File, URL, JDBC)Dictionaries and Data Skipping IndexesJSON, CSV, Parquet, AvroMonitoring & performance tuningDocker & local installation optionsBasic integrations with Superset, Python, and RESTWhy Take This Course?Unlike other general-purpose databases, ClickHouse is designed from the ground up for OLAP workloads. It's built for speed, and once you understand how it works, you'll see dramatic performance improvements for reporting, dashboards, and analytics.This course is built with real-world examples, best practices, and hands-on demos. We'll go beyond theory and help you gain practical skills that are immediately useful.Course Highlights:Beginner-Friendly: Start from scratch, no prior ClickHouse experience neededHands-On Projects: Follow along with real datasets and use casesPerformance-Driven: Learn the internals of how ClickHouse achieves high speedTons of Practice: Quizzes, assignments, and labs to reinforce conceptsCareer-Boosting: Skill up with a high-demand analytics technologyPrerequisites:Basic understanding of SQLFamiliarity with databases and data warehousing concepts is helpful but not requiredNo prior ClickHouse experience necessaryBy the end of this course, you'll be able to design, build, and optimize ClickHouse-based solutions for large-scale analytics - with confidence and speed.Enroll now and take your data analytics skills to the next level with ClickHouse!Who this course is for
Data Engineers who want to build scalable, real-time analytics pipelines using ClickHouse
Business Intelligence Professionals looking to speed up dashboards and reporting with massive datasets
Backend Developers integrating analytics features into high-performance applications
DevOps and Database Administrators managing ClickHouse in production environments
Students and Learners interested in modern data warehousing and OLAP systems
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