EGUIDE:
In this e-guide, learn about the state of adoption of data analytics in Australia, how Commonwealth Bank is making analytics tools more accessible to small companies and how SAS is prepping its marketers for the data flood.
WEBCAST:
Access this live webcast on January 30, 2014 at 12:00 PM EST (17:00 GMT) to learn how you can use big data tools and technologies to extend security intelligence – allowing you to protect massive data volumes and uncover hidden threats.
Posted: 15 Jan 2014 | Premiered: Jan 30, 2014, 12:00 EST (17:00 GMT)
WHITE PAPER:
Access the following white paper to uncover how The HP Big Data Discovery Experience can help your organization accelerate its ability to derive value from Big Data, so you can take advantage of opportunities to drive new revenues, improve efficiencies, reduce risks, and lower costs.
EBOOK:
Based on a survey of more than 3,000 IT and business professionals, this exclusive benchmark report provides insights on predictive analytics deployment trends. Uncover key findings on implementation status, project steps, most important features, and much more to guide your own analytics strategy.
WHITE PAPER:
This technical white paper describes the deployment of Intel® Distribution for Apache Hadoop on Dell PowerEdge Servers. Read on to learn how to streamline Hadoop implementation, optimize big data management, and more.
EBOOK:
Overcome the four biggest challenges of moving mainframe data to Hadoop: data integration, skills and expertise, security, and escalating costs.
EBOOK:
In this expert handbook, learn why combining business rules and predictive analytics to create decision management systems is becoming common, according to Mike Gualtieri, a principal analyst at Forrester Research Inc. Discover the critical first step of decision management, what it involves, and how it can benefit your organization.
sponsored by EMC IT Solutions India Private Limited
WHITE PAPER:
This white paper shows that storing data in EMC Isilon Scale-Out network attached storage optimizes data management for Hadoop analytics. Separating data from HDFS clients and storing it in an Isilon cluster provides scalability, efficiency, and workflow flexibility.
