{"product_id":"9781430248729","title":"Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics","description":"\u003ch1\u003eBig Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics\u003c\/h1\u003e \u003ch2\u003eMohanty, Soumendra; Jagadeesh, Madhu; Srivatsa, Harsha\u003c\/h2\u003e \u003cp\u003e\u003cem\u003eBig Data Imperatives\u003c\/em\u003e, focuses on resolving the key questions on everyone’s mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications?\u003c\/p\u003e\u003cp\u003eBig data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use.\u003c\/p\u003e\u003cp\u003eThis book addresses the following big data characteristics:\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e \u003cli\u003eVery large, distributed aggregations of loosely structured data – often incomplete and inaccessible \u003c\/li\u003e \u003cli\u003ePetabytes\/Exabytes of data \u003c\/li\u003e \u003cli\u003eMillions\/billions of people providing\/contributing to the context behind the data \u003c\/li\u003e \u003cli\u003eFlat schema's with few complex interrelationships \u003c\/li\u003e \u003cli\u003eInvolves time-stamped events \u003c\/li\u003e \u003cli\u003eMade up of incomplete data \u003c\/li\u003e \u003cli\u003eIncludes connections between data elements that must be probabilistically inferred \u003c\/li\u003e\n\u003c\/ul\u003e\u003cem\u003eBig Data Imperatives\u003c\/em\u003e explains 'what big data can do'. It can batch process millions and billions of records both unstructured and structured much faster and cheaper. Big data analytics provide a platform to merge all analysis which enables data analysis to be more accurate, well-rounded, reliable and focused on a specific business capability.\u003cp\u003e\u003cem\u003eBig Data Imperatives\u003c\/em\u003e describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. \u003c\/p\u003e\u003cp\u003eThis book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this bookintends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Apress\u003c\/p\u003e \u003cp\u003ePublication Date: 2013-06-27\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9781430248729\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4302-4873-6\u003c\/p\u003e \u003cp\u003eDimensions: 254cm x178cm\u003c\/p\u003e \u003cp\u003ePages: 320\u003c\/p\u003e ","brand":"Apress","offers":[{"title":"Default Title","offer_id":47406414659724,"sku":"9781430248729","price":44.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781430248729.jpg?v=1775826172","url":"https:\/\/lateknightbooks.com\/products\/9781430248729","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}