Thottuvaikkatumana, Rajanarayanan
Cassandra design patterns Rajanarayanan Thottuvaikkatumana - 2nd ed. - Birmingham : Packt Publishing Ltd, c2015. - x, 145 p. : ill. ; 24 cm.
Cover; Copyright; Credits; About the Author; Acknowledgements; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Co-existence Patterns; A brief overview of Cassandra; Denormalization pattern; Motivations/solutions; Best practices; Example; Reporting pattern; Motivations/solutions; Best practices; Example; Aggregation pattern; Motivations/solutions ; Best practices; Example; References; Summary; Chapter 2: RDBMS Migration Patterns; A brief overview; List pattern; Motivations/solutions; Best practices; Example; Set pattern; Motivations/solutions; Best practices ExampleMap pattern; Motivations/solutions; Best Practices; Example; Distributed Counter pattern; Motivations/solutions; Best practices; Example; Purge pattern; Motivations/solutions; Best Practices; Example; References; Summary; Chapter 3: Cache Migration Pattern; A brief overview; Cache to NoSQL pattern; Motivations/solutions; Best practices; Example; References; Summary; Chapter 4: CAP Patterns; A brief overview; Write-heavy pattern; Motivations/solutions; Best practices; Example; Read-heavy pattern; Motivations/solutions; Best practices; Example; Read-write balanced pattern Motivations/solutionsBest practices; Example; References; Summary; Chapter 5: Temporal Patterns; A brief overview; Time series pattern; Motivations/solutions; Best practices; Example; Log pattern; Motivations/solutions; Best practices; Example; Conversation pattern; Motivations/solutions; Best practices; Example; References; Summary; Chapter 6: Analytics Patterns; Processing big data; Apache Hadoop; Apache Spark; Transforming data; A brief overview; Map/Reduce pattern; Motivations/solutions; Best practices; Example; Transformation pattern; Motivations/solutions; Best practices; Example.
Explore design patterns which co-exist with legacy data stores, migration from RDBMS, and caching technologies with Cassandra Learn about design patterns and use Cassandra to provide consistency, availability, and partition tolerance guarantees for applications Handle temporal data for analytical purposes.
978-1785285707
Best practices
Conversation pattern
005.758 TH CA
Cassandra design patterns Rajanarayanan Thottuvaikkatumana - 2nd ed. - Birmingham : Packt Publishing Ltd, c2015. - x, 145 p. : ill. ; 24 cm.
Cover; Copyright; Credits; About the Author; Acknowledgements; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Co-existence Patterns; A brief overview of Cassandra; Denormalization pattern; Motivations/solutions; Best practices; Example; Reporting pattern; Motivations/solutions; Best practices; Example; Aggregation pattern; Motivations/solutions ; Best practices; Example; References; Summary; Chapter 2: RDBMS Migration Patterns; A brief overview; List pattern; Motivations/solutions; Best practices; Example; Set pattern; Motivations/solutions; Best practices ExampleMap pattern; Motivations/solutions; Best Practices; Example; Distributed Counter pattern; Motivations/solutions; Best practices; Example; Purge pattern; Motivations/solutions; Best Practices; Example; References; Summary; Chapter 3: Cache Migration Pattern; A brief overview; Cache to NoSQL pattern; Motivations/solutions; Best practices; Example; References; Summary; Chapter 4: CAP Patterns; A brief overview; Write-heavy pattern; Motivations/solutions; Best practices; Example; Read-heavy pattern; Motivations/solutions; Best practices; Example; Read-write balanced pattern Motivations/solutionsBest practices; Example; References; Summary; Chapter 5: Temporal Patterns; A brief overview; Time series pattern; Motivations/solutions; Best practices; Example; Log pattern; Motivations/solutions; Best practices; Example; Conversation pattern; Motivations/solutions; Best practices; Example; References; Summary; Chapter 6: Analytics Patterns; Processing big data; Apache Hadoop; Apache Spark; Transforming data; A brief overview; Map/Reduce pattern; Motivations/solutions; Best practices; Example; Transformation pattern; Motivations/solutions; Best practices; Example.
Explore design patterns which co-exist with legacy data stores, migration from RDBMS, and caching technologies with Cassandra Learn about design patterns and use Cassandra to provide consistency, availability, and partition tolerance guarantees for applications Handle temporal data for analytical purposes.
978-1785285707
Best practices
Conversation pattern
005.758 TH CA