{"product_id":"getting-started-with-storm-continuous-streaming-computation-with-twitters-cluster-technology-9781449324018","title":"Getting Started with Storm: Continuous Streaming Computation with Twitter's Cluster Technology","description":"\u003cp\u003eEven as big data is turning the world upside down, the next phase of the revolution is already taking shape: real-time data analysis. This hands-on guide introduces you to Storm, a distributed, JVM-based system for processing streaming data. Through simple tutorials, sample Java code, and a complete real-world scenario, you'll learn how to build fast, fault-tolerant solutions that process results as soon as the data arrives. \u003c\/p\u003e\u003cp\u003eDiscover how easy it is to set up Storm clusters for solving various problems, including continuous data computation, distributed remote procedure calls, and data stream processing. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eLearn how to program Storm components: \u003ci\u003espouts\u003c\/i\u003e for data input and \u003ci\u003ebolts\u003c\/i\u003e for data transformation \u003c\/li\u003e\n\u003cli\u003eDiscover how data is exchanged between spouts and bolts in a Storm \u003ci\u003etopology\u003c\/i\u003e \u003c\/li\u003e\n\u003cli\u003eMake spouts fault-tolerant with several commonly used design strategies \u003c\/li\u003e\n\u003cli\u003eExplore bolts--their life cycle, strategies for design, and ways to implement them \u003c\/li\u003e\n\u003cli\u003eScale your solution by defining each component's level of parallelism \u003c\/li\u003e\n\u003cli\u003eStudy a real-time web analytics system built with Node.js, a Redis server, and a Storm topology \u003c\/li\u003e\n\u003cli\u003eWrite spouts and bolts with non-JVM languages such as Python, Ruby, and Javascript\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Jonathan Leibiusky,Gabriel Eisbruch,Dario Simonassi\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e O'Reilly Media\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 10\/16\/2012\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 103\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.40lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.19h x 7.00w x 0.22d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781449324018\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003eJonathan Leibiusky, Head of Research and Development at MercadoLibre, has been working in software development for more than 10 years. He has developed and contributed to several new and existing open source projects, including \"Jedis\", which is being used actively by VMWare and SpringSource.\u003c\/p\u003e\n\u003cp\u003eGabriel is a computer science student and works as an Software Architect in Mercadolibre (NASDAQ MELI) since 2007. He is tasked with researching technologies and developing projects. In the last year he has specialized in big data analysis, implementing Mercadolibre's hadoop cluster.\u003c\/p\u003e\n\u003cp\u003eDario has been working in software development for more than 10 years. Since 2004 he has specialized in large website, operations and performance. Today, Dario is the Chief Architect of MercadoLibre (NASDAQ MELI) where he leads the architecture team.\u003c\/p\u003e\n\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"O'Reilly Media","offers":[{"title":"Paperback","offer_id":44907018059891,"sku":"9781449324018","price":28.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/files\/img_45e2cbfa-a1d3-437a-82d6-b52947943075.jpg?v=1777482170","url":"https:\/\/bookstorenmore.com\/en-de\/products\/getting-started-with-storm-continuous-streaming-computation-with-twitters-cluster-technology-9781449324018","provider":"Bookstore N More","version":"1.0","type":"link"}