Traditional data management and business analytics tools and technologies are straining under the added weight of Big Data, but new approaches are emerging to help enterprises gain actionable insights from Big Data. More and more organizations are looking to deploy Hadoop with aspirations for great success. However, business intelligence and application users who are not Hadoop specialists may find their lack of knowledge and tools initially limit them from achieving the full potential of Hadoop. Overcoming these hurdles is critical if Hadoop is to evolve from a pilot project to mainstream adoption.
This slideshow, from Zettaset, is intended to provide answers to the concerns that business intelligence and analytics users may have when considering Hadoop. It will also discuss the advantages and disadvantages of using Hadoop as a data store, and how the disadvantages will be mitigated as new technologies emerge to assist the enterprise with Big Data initiatives.
Predictive analytics uses past data to forecast outcomes and target the right prospects – a move that's redefining the use of data and insights in marketing. ... More >>
Failure to invest in these key app development items upfront could result in a substantial amount of lost time and money down the road. ... More >>
Enterprise performance management platforms can help save money and improve the chances for a successful M&A integration. ... More >>