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Getting started with Hazelcast : get acquainted with the highly scalable data grid, Hazelcast, and learn how to bring its powerful in-memory features into your application /
This book is a great introduction for Java developers, software architects, or DevOps looking to enable scalable and agile data within their applications. Providing in-memory object storage, cluster-wide state and messaging, or even scalable task execution, Hazelcast helps solve a number of issues t...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2015.
|
| Edición: | Second edition. |
| Colección: | Community experience distilled.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 1 | 0 | |a Getting started with Hazelcast : |b get acquainted with the highly scalable data grid, Hazelcast, and learn how to bring its powerful in-memory features into your application / |c Mat Johns. |
| 246 | 3 | 0 | |a Get acquainted with the highly scalable data grid, Hazelcast, and learn how to bring its powerful in-memory features into your application |
| 250 | |a Second edition. | ||
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2015. | |
| 300 | |a 1 online resource (145 pages) : |b illustrations | ||
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| 490 | 1 | |a Community experience distilled | |
| 588 | 0 | |a Online resource; title from cover (Safari, viewed August 12, 2015). | |
| 500 | |a Includes index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover -- Copyright -- Credits -- About the Author -- About the Reviewers -- www.PacktPub.com -- Table of Contents -- Preface -- Chapter 1: What is Hazelcast? -- Starting out as usual -- Data deciding to hang around -- Therein lies the problem -- Breaking the mould -- Moving to new ground -- Playing around with our data -- Summary -- Chapter 2: Getting off the Ground -- Let's get started -- Showing off straightaway -- Mapping back to the real world -- Sets, lists, and queues -- Many things at a time -- Searching and indexing | |
| 505 | 8 | |a What happens when we reach our limits?Summary -- Chapter 3: Going Concurrent -- Atomic control -- Distributed locking -- Tactical locking -- Transactionally rolling on -- Differences when queuing -- Enterprising onwards -- Collectively counting up -- Spreading the word -- Summary -- Chapter 4: Divide and Conquer -- Divvying up the data -- Backups everywhere and nowhere -- Scaling up the cluster -- Having some of our data everywhere -- Grouping and separating nodes -- Network partitioning -- Maintaining quorum -- Summary | |
| 505 | 8 | |a Chapter 5: Listening OutListening to the goings-on -- The sound of our own data -- Continuously querying -- Listeners racing into action -- Keyless collections -- Programmatic configuration ahead of time -- Events unfolding in the wider world -- Moving data around the place -- Extending quorum -- Summary -- Chapter 6: Spreading the Load -- All power to the compute -- Giving up when tasks take too long -- Running once, running everywhere -- Placing tasks next to the data -- Partitioning control by name -- Self-updating results | |
| 505 | 8 | |a In-place entry processingSummary -- Chapter 7: Gathering Results -- What is this big data hype all about? -- Trying to make sense of it all -- Combining data where possible -- Putting theory into practice -- Combining results as we go -- Simplifying just aggregating up -- Summary -- Chapter 8: Typical Deployments -- All heap and nowhere to go -- Stepping back from the cluster -- Serialization and classes -- Getting straight to the point -- Architectural overview -- Peer-to-peer clusters -- Smart clients and server clusters | |
| 505 | 8 | |a Dummy client proxying through a single nodeSummary -- Chapter 9: From the Outside Looking In -- What about the rest of us? -- Memcache -- Going RESTful -- Cluster status via REST -- REST resilience -- Summary -- Chapter 10: Going Global -- Getting set up in the cloud -- Under manual control -- Discovery � the Amazonian way -- Filtering the possibilities -- Spreading out around the globe -- Summary -- Chapter 11: Playing Well with Others -- Don't pass what you need, depend on it -- Simplifying collection access -- Transparently caching others' data | |
| 520 | |a This book is a great introduction for Java developers, software architects, or DevOps looking to enable scalable and agile data within their applications. Providing in-memory object storage, cluster-wide state and messaging, or even scalable task execution, Hazelcast helps solve a number of issues that have troubled technologists for years. | ||
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