Storm Applied:Strategies for real-time event processing

Lingua: inglese

Editore: Manning Publications, US, 2015

1617291897 / 9781617291890

Da: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA

Venditore con 5 stelle

Venditore AbeBooks dal 10 giugno 2025

Brossura

Condizione: Nuovo

EUR 45,17

 Spedizione gratuita 
Spedito in U.S.A.

Quantità: 10 disponibili

Aggiungi al carrello
Resi gratuiti per 30 giorni

Descrizione dell’articolo da parte del venditore

It's a lot harder to make sense out of data when it's coming at full speed. Apache Storm's efficient stream processing capabilities are relied upon by giants like Twitter and Yahoo for swiftly extracting intelligence from their Big Data streams. Fault tolerant guarantees of Storm make it an invaluable and versatile platform in the Big Data landscape. It integrates seamlessly with battle-tested message queuing systems (like Kafka) and NoSQL databases (like Cassandra). Storm is built to run on the JVM but provides straightforward extensions for working with non-JVM languages like Ruby and Python.   Storm Applied is a practical guide to using Apache Storm for the real-world tasks associated with processing and analyzing real-time data streams. The book starts by building a solid foundation of the Storm essentials. Then, it quickly dives into real-world case studies that will bring the novice up to speed with productionizing Storm: the knowledge needed to scale a high throughput stream processor and ensure smooth operation within a production cluster. It moves on to teach readers how to use Trident to treat streams as batches for solving a different class of problems, and covers the tools available within the Storm open source community that are crucial for any seasoned Storm developer. ? RETAIL SELLING POINTS Immediately useful practical guide Applies Storm to real-world use cases Takes Storm from development to a fully tuned and optimized production setup   AUDIENCE While prior experience with Storm is not necessary, acquaintance with related Big Data problem solving is helpful. Basic understanding of Java or similar JVM language and concurrency is assumed.   DESCRIBE THE TECHNOLOGY Storm is a tool that can be used for processing "big data" in real-time. Think performing real-time analysis of all the tweets going through Twitter.…

Codice articolo LU-9781617291890

Titolo
Storm Applied:Strategies for real-time event processing
Autore
Sean T. Allen, Peter Pathirana, Matthew Jankowski
Editore
Manning Publications, US
Anno di pubblicazione
2015
Condizione
New
Rilegatura
Paperback
Lingua
inglese
ISBN 10
1617291897
ISBN 13
9781617291890
Peso dell'articolo
496 grammi

Rarewaves USA

HEBRON, KY, U.S.A.

Venditore con 5 stelle

Venditore AbeBooks dal 10 giugno 2025

Tariffe di spedizione nazionale per U.S.A.

ArticoloDa 13 a 14 giorni lavorativiDa 13 a 16 giorni lavorativi
Primo articoloEUR 0,00EUR 0,00
I tempi di consegna sono stabiliti dai venditori e variano in base al corriere e al paese. Gli ordini che devono attraversare una dogana possono subire ritardi e spetta agli acquirenti pagare eventuali tariffe o dazi associati. I venditori possono contattarti in merito ad addebiti aggiuntivi dovuti a eventuali maggiorazioni dei costi di spedizione dei tuoi articoli.

Metodi di pagamento

  • Visa
  • Mastercard
  • American Express
  • Carte Bleue
  • Apple Pay
  • Google Pay

Informazioni sull’azienda del venditore

Rarewaves USA

10100 West Sample Road, Ste 101
Coral Springs, FL U.S.A. 33065