{"product_id":"complete-guide-to-open-source-big-data-s","title":"Complete Guide To Open Source Big Data S","description":"\u003cp\u003eThis book describes the creation of an actual generic open source big data stack, which is an integrated stack of big data components--each of which serves a specific function like storage, resource management, or queueing. Each component has a big data heritage and community to support it. It can support big data in that it is able to scale, and it is a distributed and robust system.\u003c\/p\u003e\u003cp\u003eIn the\u003ci\u003e Complete Guide to Open Source Big Data Stack, \u003c\/i\u003eMike Frampton begins by creating a private cloud and then by installing and examining Apache Brooklyn. After that he will use each chapter to introduce one piece of the big data stack—sharing how to source the software and then how to install it. He will then show how it works by simple example. Step by step and chapter by chapter, Frampton will create a real big data stack. \u003c\/p\u003eThe goal of this book is to show how a big data stack might be created and what components might be used. It attempts to do this with currently available Apache full and incubating systems. The aim is to introduce these components by example and show how they might work together.\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe book concentrates on Apache-based systems and shares detailed examples of cloud storage, release management, resources management, processing, queuing, frameworks, data visualization, and more.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat you’ll learn\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eHow to install a private cloud onto the local cluster using Apache cloud stack.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow to source and install Apache Brooklyn.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow to source and install Mesos.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow Brooklyn can be used to install Hadoop, Cassandra, and Riak and how data can be moved.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow to use Apache Spark for big data stack data processing.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow Apache Kafka can be sourced, installed and configured.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow to source and install Apache Zeppelin the big data visualization system.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThis book is for developers, architects, IT project managers, database administrators, and others charged with developing or supporting a big data system. It is also for a general IT audience, anyone interested in Hadoop or big data, and those experiencing problems with data size. It’s also for anyone who would like to further their career in this area by adding big data skills. \u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e","brand":"MediaPlace","offers":[{"title":"Default Title","offer_id":57317654921598,"sku":"NW9781484221488","price":31.9,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1379\/1261\/files\/9781484221488.jpg?v=1778722504","url":"https:\/\/mediaplace.com\/products\/complete-guide-to-open-source-big-data-s","provider":"MediaPlace","version":"1.0","type":"link"}