Part 1 of 10
Part 1: Introduction & Architecture
What is ClickHouse, why is it so fast, and how does it work under the hood?
#ClickHouse
#Architecture
#OLAP
Ankur's Journal
Blog & ELI5 Glossary
Technical deep dives and ELI5 analogies for people who actually build things. Sarcasm included free of charge.
ClickHouse Mastery
Master the fastest OLAP store. Deep, 10-15 minute guides on columnar storage, indexing, and sharding.
Part 2 of 10
Part 2: Installation & Quick Start
Get ClickHouse up and running in minutes using Docker or native binaries.
#ClickHouse
#Installation
#Docker
#SQL
Part 3 of 10
Part 3: The MergeTree Family
Understanding the core engine of ClickHouse: MergeTree, Sorting, and Partitioning.
#ClickHouse
#MergeTree
#Engines
Part 4 of 10
Part 4: Data Modeling
Best practices for schema design, primary keys, and denormalization in ClickHouse.
#ClickHouse
#Data Modeling
#Schema Design
Part 5 of 10
Part 5: Ingestion
Getting data into ClickHouse: INSERTs, Formats, and Integrations.
#ClickHouse
#Ingestion
#Formats
#Integrations
Part 6 of 10
Part 6: Querying Basics
Mastering SQL in ClickHouse: Aggregations, PREWHERE, and performance tips.
#ClickHouse
#SQL
#Querying
Part 7 of 10
Part 7: Advanced Features
Unlock the power of Arrays, Maps, and Window Functions in ClickHouse.
#ClickHouse
#Arrays
#Maps
#Window Functions
Part 8 of 10
Part 8: Materialized Views
Real-time analytics made easy with ClickHouse Materialized Views.
#ClickHouse
#Materialized Views
#Real-time
#AggregatingMergeTree
Part 9 of 10
Part 9: Performance Tuning
Squeeze every ounce of performance out of ClickHouse with these tuning tips.
#ClickHouse
#Performance
#Optimization
#Indexes
Part 10 of 10
Part 10: Scaling & Operations
Going global: Sharding, Replication, and managing ClickHouse at scale.
#ClickHouse
#Scaling
#Sharding
#Replication
#Operations
Databricks Lakehouse: Zero to Hero
Step-by-step masterclass on Spark compute, Delta Lake, DLT pipelines, Unity Catalog, and orchestration.
Part 1 of 10
Part 1: The Lakehouse Architecture & Delta Lake
Why gluing a transaction log to a bunch of Parquet files solved the biggest headache in data engineering.
#Databricks
#Lakehouse
#Delta Lake
#Architecture
Part 2 of 10
Part 2: Workspace & Cluster Setup
How to configure Databricks clusters without accidentally bankrupting your company.
#Databricks
#Compute
#Clusters
#Infrastructure
Part 3 of 10
Part 3: Delta Tables & Schema Enforcement
Managed vs. External tables, protecting data with Schema Enforcement, and cleaning up with VACUUM.
#Databricks
#Delta Lake
#Schema Enforcement
#Optimization
Part 4 of 10
Part 4: The Medallion Architecture
Building production-grade data pipelines using Bronze, Silver, and Gold table layers.
#Databricks
#Medallion Architecture
#Data Pipelines
#Data Modeling
Part 5 of 10
Part 5: Batch & Stream Ingestion with Auto Loader
Ingesting files at scale using Databricks Auto Loader, Schema Inference, and Rescued Data.
#Databricks
#Ingestion
#Auto Loader
#Structured Streaming
Part 6 of 10
Part 6: Spark SQL Optimization
Mastering the Catalyst Optimizer, Adaptive Query Execution, and Physical Join strategies.
#Databricks
#Spark SQL
#Query Tuning
#AQE
Part 7 of 10
Part 7: Delta Live Tables Pipelines
Building self-healing, declarative ETL pipelines using Delta Live Tables and Expectations.
#Databricks
#DLT
#Pipelines
#Data Quality
Part 8 of 10
Part 8: Data Governance & Unity Catalog
Mastering security, 3-tier namespaces, row/column permissions, and data lineage in Databricks.
#Databricks
#Unity Catalog
#Governance
#Security
Part 9 of 10
Part 9: Tuning & Photon Engine
Going fast: Photon Vectorized execution, Z-Ordering, and Liquid Clustering.
#Databricks
#Performance
#Photon
#Liquid Clustering
#Tuning
Part 10 of 10
Part 10: Orchestrating Workflows
Building production DAGs, conditional tasks, and passing state using Databricks Workflows.
#Databricks
#Orchestration
#Workflows
#Scheduling
ELI5: Data Principles Explained Simply
Complex data engineering terms and principles broken down into funny, sarcastic, plain English analogies.
ELI5: ACID Transactions
Why transferring money between bank accounts must be all-or-nothing.
#ELI5
#ACID
#Databases
ELI5: Columnar Storage
Why reading data vertically is like using a laser instead of a vacuum cleaner.
#ELI5
#Columnar Storage
#Databases
ELI5: Delta Lake
Why Delta Lake is like Google Docs for your raw data files.
#ELI5
#Delta Lake
#Databricks
ELI5: The Lakehouse Architecture
Why a hybrid between a high-end restaurant and a chaotic warehouse store is the future of data.
#ELI5
#Lakehouse
#Databricks
ELI5: OLAP (Online Analytical Processing)
The difference between scanning a grocery item and calculating the grocery chain's annual revenue.
#ELI5
#OLAP
#Databases
ELI5: Database Clusters & Compute
Why solving a massive puzzle is faster when you hire a team and a manager.
#ELI5
#Compute
#Clusters
#Databricks
ELI5: The MergeTree Engine
Why sorting letters in batches is better than sorting them one by one.
#ELI5
#MergeTree
#ClickHouse
ELI5: Schema Enforcement vs. Schema Evolution
The difference between a strict bouncer at a club and updating the VIP guest list.
#ELI5
#Schema
#Delta Lake
#Databricks
ELI5: Database Partitioning
Why sorting receipts into labeled drawers is better than throwing them all in one giant pile.
#ELI5
#Partitioning
#Databases
ELI5: The Medallion Architecture
Why data engineering is like running a water purification plant.
#ELI5
#Medallion Architecture
#Databricks
#Data Modeling
ELI5: Databricks Auto Loader
Why checking the mail slot every 5 seconds is a waste of time compared to installing a smart sensor.
#ELI5
#Auto Loader
#Databricks
#Ingestion
ELI5: Spark SQL & The Catalyst Optimizer
Why Spark SQL is like a super-smart tour guide who knows every shortcut in the city.
#ELI5
#Spark SQL
#Databricks
#Optimization
ELI5: Delta Live Tables (DLT)
Why DLT is like designing a self-monitoring automated assembly line.
#ELI5
#Delta Live Tables
#Databricks
#Pipelines
ELI5: Materialized Views
Why keeping a running tally on a whiteboard is faster than counting receipts from scratch.
#ELI5
#Materialized Views
#ClickHouse
#Databases
ELI5: Unity Catalog
Why Unity Catalog is like a secure corporate headquarters with smart keycards and a master registry.
#ELI5
#Unity Catalog
#Databricks
#Governance
ELI5: Z-Ordering
How to arrange books in a library so you can find them by author and publication year without reading every shelf.
#ELI5
#Z-Ordering
#Delta Lake
#Performance
ELI5: The Photon Engine
Why replacing a family sedan's engine with a C++ rocket engine makes Spark fly.
#ELI5
#Photon Engine
#Databricks
#Performance
ELI5: Workflow Orchestration
Why running a data pipeline is like directing a massive theatrical play.
#ELI5
#Orchestration
#Workflows
#Databricks
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