{"product_id":"data-just-right","title":"Data Just Right","description":"Large-scale data analysis is now vitally important to virtually every business. Mobile and social technologies are generating massive datasets; distributed cloud computing offers the resources to store and analyse them; and professionals have radically new technologies at their command, including NoSQL databases. Until now, however, most books on “Big Data” have been little more than business polemics or product catalogs. Data Just Right is different: It’s a completely practical and indispensable guide for every Big Data decision-maker, implementer, and strategist. \u003cbr\u003e\n \u003cbr\u003e\n Michael Manoochehri, a former Google engineer and data hacker, writes for professionals who need practical solutions that can be implemented with limited resources and time. Drawing on his extensive experience, he helps you focus on building applications, rather than infrastructure, because that’s where you can derive the most value. \u003cbr\u003e\n \u003cbr\u003e\n Manoochehri shows how to address each of today’s key Big Data use cases in a cost-effective way by combining technologies in hybrid solutions. You’ll find expert approaches to managing massive datasets, visualising data, building data pipelines and dashboards, choosing tools for statistical analysis, and more. Throughout, the author demonstrates techniques using many of today’s leading data analysis tools, including Hadoop, Hive, Shark, R, Apache Pig, Mahout, and Google BigQuery. \u003cbr\u003e\n \u003cbr\u003e\n Coverage includes \u003cul\u003e \u003cli\u003eMastering the four guiding principles of Big Data success—and avoiding common pitfalls \u003c\/li\u003e\n \u003cli\u003eEmphasising collaboration and avoiding problems with siloed data \u003c\/li\u003e\n \u003cli\u003eHosting and sharing multi-terabyte datasets efficiently and economically \u003c\/li\u003e\n \u003cli\u003e“Building for infinity” to support rapid growth \u003c\/li\u003e\n \u003cli\u003eDeveloping a NoSQL Web app with Redis to collect crowd-sourced data \u003c\/li\u003e\n \u003cli\u003eRunning distributed queries over massive datasets with Hadoop, Hive, and Shark \u003c\/li\u003e\n \u003cli\u003eBuilding a data dashboard with Google BigQuery \u003c\/li\u003e\n \u003cli\u003eExploring large datasets with advanced visualisation \u003c\/li\u003e\n \u003cli\u003eImplementing efficient pipelines for transforming immense amounts of data \u003c\/li\u003e\n \u003cli\u003eAutomating complex processing with Apache Pig and the Cascading Java library \u003c\/li\u003e\n \u003cli\u003eApplying machine learning to classify, recommend, and predict incoming information \u003c\/li\u003e\n \u003cli\u003eUsing R to perform statistical analysis on massive datasets \u003c\/li\u003e\n \u003cli\u003eBuilding highly efficient analytics workflows with Python and Pandas \u003c\/li\u003e\n \u003cli\u003eEstablishing sensible purchasing strategies: when to build, buy, or outsource \u003c\/li\u003e\n \u003cli\u003ePreviewing emerging trends and convergences in scalable data technologies and the evolving role of the Data Scientist \u003c\/li\u003e\n \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eThe full text downloaded to your computer\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eWith eBooks you can:\u003c\/p\u003e \u003cul\u003e \u003cli\u003esearch for key concepts, words and phrases \u003c\/li\u003e\n \u003cli\u003emake highlights and notes as you study \u003c\/li\u003e\n \u003cli\u003eshare your notes with friends \u003c\/li\u003e\n \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eeBooks \u003c\/strong\u003eare downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. \u003c\/p\u003e \u003cp\u003eUpon purchase, you'll gain instant access to this eBook.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eTime limit\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eThe \u003cstrong\u003eeBooks\u003c\/strong\u003e products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.\u003c\/p\u003e","brand":"Pearson Education","offers":[{"title":"Default Title","offer_id":46286534246638,"sku":"9780133359077","price":45.36,"currency_code":"AUD","in_stock":true}],"url":"https:\/\/bookland.com.au\/products\/data-just-right","provider":"Book Land AU","version":"1.0","type":"link"}