{"product_id":"moving-hadoop-to-the-cloud-harnessing-cloud-features-and-flexibility-for-hadoop-clusters-paperback","title":"Moving Hadoop to the Cloud: Harnessing Cloud Features and Flexibility for Hadoop Clusters - Paperback","description":"\u003cp\u003eby \u003cb\u003eBill Havanki\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eUntil recently, Hadoop deployments existed on hardware owned and run by organizations. Now, of course, you can acquire the computing resources and network connectivity to run Hadoop clusters in the cloud. But there's a lot more to deploying Hadoop to the public cloud than simply renting machines. \u003c\/p\u003e\u003cp\u003e This hands-on guide shows developers and systems administrators familiar with Hadoop how to install, use, and manage cloud-born clusters efficiently. You'll learn how to architect clusters that work with cloud-provider features--not just to avoid pitfalls, but also to take full advantage of these services. You'll also compare the Amazon, Google, and Microsoft clouds, and learn how to set up clusters in each of them. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eLearn how Hadoop clusters run in the cloud, the problems they can help you solve, and their potential drawbacks \u003c\/li\u003e\n\u003cli\u003eExamine the common concepts of cloud providers, including compute capabilities, networking and security, and storage \u003c\/li\u003e\n\u003cli\u003eBuild a functional Hadoop cluster on cloud infrastructure, and learn what the major providers require \u003c\/li\u003e\n\u003cli\u003eExplore use cases for high availability, relational data with Hive, and complex analytics with Spark \u003c\/li\u003e\n\u003cli\u003eGet patterns and practices for running cloud clusters, from designing for price and security to dealing with maintenance \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBill Havanki is a software engineer working for Cloudera, where he has contributed to Hadoop components as well as systems for deploying Hadoop clusters into public Cloud services. Prior to joining Cloudera he worked for 15 years developing software for government contracts, focusing mostly on analytic frameworks and authentication and authorization systems. He earned his B.S. in Electrical Engineering from Rutgers University and his M.S. in Computer Engineering from North Carolina State University. A New Jersey native, he currently lives near Annapolis, Maryland with his family.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 334\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.6 x 9 x 6.9 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 22, 2017\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51760666509600,"sku":"9781491959633","price":39.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/ee7c9d26fcda545dae231dba1b474028.webp?v=1780186272","url":"https:\/\/ebocreations.com\/products\/moving-hadoop-to-the-cloud-harnessing-cloud-features-and-flexibility-for-hadoop-clusters-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}