Titlebook: Big Data Imperatives; Enterprise Big Data Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa Book 2013 Soumendra Mohanty and Madhu Jagadees

評估

書目名稱Big Data Imperatives影響因子(影響力)




書目名稱Big Data Imperatives影響因子(影響力)學(xué)科排名




書目名稱Big Data Imperatives網(wǎng)絡(luò)公開度




書目名稱Big Data Imperatives網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Big Data Imperatives被引頻次




書目名稱Big Data Imperatives被引頻次學(xué)科排名




書目名稱Big Data Imperatives年度引用




書目名稱Big Data Imperatives年度引用學(xué)科排名




書目名稱Big Data Imperatives讀者反饋




書目名稱Big Data Imperatives讀者反饋學(xué)科排名

countenance

預(yù)知

著名

珍奇

J. C. E. Underwood MD, MRCPath.Big data is baffling, and analytics are complex. Together, big data analytics make a difficult and complex undertaking largely because technology architectures and methodologies are immature.

paltry

investigate

Dorsal-Kyphosis

https://doi.org/10.1007/978-1-4613-3387-6ent of mainframes to client server to ERP and now everything digital. For years the overwhelming amount of data produced was deemed useless. But data has always been an integral part of every enterprise, big or small. As the importance and value of data to an enterprise became evident, so did the pr

交響樂

etc;.Numerous industry use cases about big data and its impl.Big Data Imperatives., 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

不適當(dāng)