%0 Book %1 Krishnan13 %A Krishnan, Krish %C Amsterdam %D 2013 %I Morgan Kaufmann %K 01624 103 book acm elsevier ai enterprise information management assist data processing pattern recognition analysis database zzz.big %T Data Warehousing in the Age of Big Data %U http://www.sciencedirect.com/science/book/9780124058910 %X This book will help you and your organization make the most of unstructured data with your existing data warehouse. As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data-ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory. %@ 978-0-12-405891-0

@book{Krishnan13, abstract = {This book will help you and your organization make the most of unstructured data with your existing data warehouse. As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data-ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory.}, added-at = {2016-11-29T07:47:46.000+0100}, address = {Amsterdam}, author = {Krishnan, Krish}, biburl = {https://www.bibsonomy.org/bibtex/28131b1cfdca0dd9486b7cc337df1d9a3/flint63}, file = {ACM Learning Center eBook:2013/Krishnan13.pdf:PDF;Amazon Search inside:http\://www.amazon.de/gp/reader/0124058914/:URL}, groups = {public}, interhash = {2c5c4d461f148e77e27bdf20d36713a4}, intrahash = {8131b1cfdca0dd9486b7cc337df1d9a3}, isbn = {978-0-12-405891-0}, keywords = {01624 103 book acm elsevier ai enterprise information management assist data processing pattern recognition analysis database zzz.big}, publisher = {Morgan Kaufmann}, timestamp = {2017-07-13T17:34:34.000+0200}, title = {Data Warehousing in the Age of Big Data}, url = {http://www.sciencedirect.com/science/book/9780124058910}, username = {flint63}, x-series = {Morgan Kaufmann Series on Business Intelligence}, year = 2013 }