<P style="MARGIN: 0px">Large-scale data analysis ("Big Data") is suddenly of crucial importance to virtually every enterprise. Mobile and social technologies are generating massive datasets, and distributed cloud computing is providing better ways to analyzing and processing that data. Accelerating technological change is turning long-accepted ideas about Big Data upside down, forcing companies to evaluate daunting new technologies, including NoSQL databases. Until now, however, most books on "Big Data" have been little more than business polemics and product catalogs. <I> <B> <I>Data Just Right</I> </B> </I>is different -- and utterly invaluable to every Big Data decision-maker, implementer, and strategist.</P> <P style="MARGIN: 0px"> </P> <P style="MARGIN: 0px">Google's Michael Manoochehri organizes this book around today's key Big Data use cases, showing how they can be best addressed by combining technologies in hybrid solutions. Drawing on his own extensive experience, Manoochehri presents the technical detail you need to implement each solution, and best practices you can apply to any Big Data project. You'll learn how to: </P> <UL> <LI> <DIV style="MARGIN: 0px">"Build for infinity," supporting rapid growth</DIV> </LI> <LI> <DIV style="MARGIN: 0px">Break down data silos</DIV> </LI> <LI> <DIV style="MARGIN: 0px">Decide what to insource and what to outsource</DIV> </LI> <LI> <DIV style="MARGIN: 0px">Focus on applications, not infrastructure, since that's where you can drive the most value</DIV> </LI> </UL> <P style="MARGIN: 0px"> Throughout, Manoochehri shows how to use and integrate cutting-edge technologies including Hadoop, Hive, Pig, Tableau, R, and Google Bigquery. No other Big Data guide offers as much practical, actionable insight -- <I>or even comes close</I>.</P>