Pagefy

Back to System Design

Book

Designing Data Intensive Applications by Martin Kleppmann

1.Encoding and Evolution 2.Replication 3.Partitioning 4.Transactions 5.The Trouble with Distributed Systems 6.Consistency and Consensus 7.Batch Processing 8.Stream Processing 9.The Future of Data Systems

Designing Data Intensive Applications by Martin Kleppmann

Designing Data Intensive Applications by Martin KleppmannBuy the book

Sign in to save bookmarks, reading progress, and highlights.

Designing Data Intensive Applications by Martin Kleppmann cover 1

Chapters

Choose a chapter to jump directly into independent notes and commentary.

1Encoding and Evolution 2Replication 3Partitioning 4Transactions 5The Trouble with Distributed Systems 6Consistency and Consensus 7Batch Processing 8Stream Processing 9The Future of Data Systems