An intro to column-based storage
Mark Needham
In this video, we explore column storage, the backbone of column stores or column databases like ClickHouse. We compare the concept to the more familiar row-based storage used in many relational databases, using a practical example of weather data to illustrate the differences.
Column storage isn't just a different way to organize data; it's a game-changer for analytical queries and data compression. We'll explore why this approach is particularly well-suited for modern data analysis needs and how it aligns with current CPU architectures.
Key points covered:
- Comparison of row-based vs. column-based storage layouts
- Advantages of column storage for data compression and efficient querying
- Examples of compression techniques like dictionary encoding and delta encoding
- How column storage enables faster analytical queries and aggregations
- The benefits of column storage for CPU cache usage and SIMD operations
ClickHouse at DoorDash
Patrick Rogers, a staff software engineer
Premiers pas avec ClickHouse
Libérez la puissance de vos données et rejoignez notre webinar « Bien démarrer avec ClickHouse » ! Êtes-vous prêt à transformer votre manière de gérer les données ? Découvrez ClickHouse, le système de gestion de base de données colonnaire open source ultra-rapide qui révolutionne l’analytique des données ! Que vous soyez data scientist, ingénieur ou analyste métier, ce webinar est fait pour vous. Aucune expérience préalable n’est requise.
ClickHouse 25.7 adds GeoParquet support
Mark Needham
