sponsored by IBM
Posted:  10 Apr 2013
Published:  10 Apr 2013
Format:  PDF
Length:  9  Page(s)
Type:  eGuide
Language:  English

No doubt about it - big data analytics is a hot term in the IT and the business worlds.  Business intelligence (BI) vendors are pitching products left and right to help organizations implement big data analytics efforts.  However, undertaking this sort of project is not as simple as buying a piece of technology.

Check out this expert e-guide to learn about the positive, negative, and hairier aspects of big data analytics projects.  Read on to discover both best and worst practices for analytics endeavors, and key questions to ask before beginning.

Business Intelligence | Content Management | Data Analytics | Data Collection | Data Integration | Data Management | Data Mining | Data Quality | Structured Data | Unstructured Data

View All Resources sponsored by IBM

About TechTarget:

TechTarget provides enterprise IT professionals with the information they need to perform their jobs - from developing strategy, to making cost-effective IT purchase decisions and managing their organizations' IT projects - with its network of technology-specific Web sites, events and magazines

All Rights Reserved, Copyright 2000 - 2014, TechTarget | Read our Privacy Statement