Pries, Kim H.; Dunnigan, Robert <br/><br/>
Big data analytics : a practical guide for managers 

 - London  CRC Press  2015 
 - xix, 556p.  23 cm ; Pbk 
<br/><br/> SRS/ Rs.4355/- 
<br/><br/>1. Introduction <br/> 2. The mother of invention's triplets :<br/> Moore's law, the proliferation of data, and data storage technology <br/> 3. Hadoop <br/> 4. HBase and other big data databases <br/> 5. Machine learning <br/> 6. Statistics <br/> 7. Google <br/> 8. Geographic information systems (GIS) <br/> 9. Discovery <br/> 10. Data quality <br/> 11. Benefits <br/> 12. Concerns <br/> 13. Epilogue. 
<br/><br/> Covering prominent software packages, including Hadoop, Oracle Endeca, and SAP HANA, this book demonstrates the utility and promise of these applications. It also demonstrates the need to understand data quality and the ability of statistics to mislead when due rigor is not applied. As the authors are both ASQ-certified Six Sigma Black Belts, they demonstrate how common statistical tools and investigative methodologies can mitigate risks that arise from limitations in the data. 
<br/><br/><label>ISBN: </label>978-1482234510 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Big data<br/>Data mining<br/>Database management
<br/><br/><label>Dewey Class. No.: </label>658.0557 PRI