Data Storage
Storing processed data for analysis and consumption
🏪 Analogy
The warehouse system that organizes finished products for distribution
Problems Solved
- Scalable data storage
- Fast query performance
- Data governance and security
- Cost optimization
Understanding Data Storage
Types of Data Storage
Data Warehouses
Optimized for analytics with SQL interface and built-in optimizations
Data Lakes
Scalable object storage for any data type with schema-on-read
Lakehouses
Combining data warehouse performance with data lake flexibility
Table Formats
Optimized file formats for analytical queries and data management
Recommended Tools
Tools for data storage by category:
Apache Druid
Use case: Fast analytics on streaming data
Amazon S3
Use case: Object storage, data lakes
Amazon Redshift
Use case: Complex analytical queries
Google Cloud Storage
Use case: Object storage, analytics
Google BigQuery
Use case: Large-scale analytics
Azure Data Lake Storage
Use case: Enterprise data lakes
Azure Synapse
Use case: Integrated analytics, data warehousing
Snowflake
Use case: Enterprise analytics
Delta Lake
Use case: ACID transactions, reliability
Apache Iceberg
Use case: Schema evolution, analytics