How Meta Uses Cassandra

The article discusses how Facebook has enhanced the Zstandard compression algorithm since its open-sourcing, focusing on five key improvements that optimize compression performance at scale.

The article provides a recap of the Data @Scale conference held in Boston, focusing on the challenges and advancements in large-scale data storage and analytics.

The Data @Scale 2017 conference brought together 350 engineers to discuss the challenges and innovations in large-scale storage systems and analytics.

The @Scale Conference 2015 brought together 1,400 engineers from over 400 companies to share best practices for building scalable systems and applications.

The article discusses the upcoming @Scale 2015 conference, where engineers from major tech companies will share insights on building scalable systems.

The article discusses enhancements made to the Presto ORC reader, focusing on performance improvements through features like columnar reads, predicate pushdown, and lazy reads.

The article discusses Facebook's commitment to open source in 2013, highlighting significant projects and contributions across various domains such as mobile, web, data, and infrastructure.

The article discusses the technology behind Facebook's Messages infrastructure, highlighting the transition from MySQL and Cassandra to Apache HBase for better scalability and performance.

The article discusses Cassandra, a distributed storage system developed at Facebook to address the challenges of storing and managing structured data at scale.