EZINE:
Technology advancements in recent years have brought about huge social challenges. Artificial intelligence and big data, for example, have gained the serious attention of policy makers across the world.
EBOOK:
In this expert e-book, find out why in a recent TechTarget survey, predictive analytics was the top choice for planned BI and analytics investments, and how adoption of Hadoop has already allowed major companies to take the next step in big data management.
WHITE PAPER:
Access the following white paper to uncover the tools and strategies you need to know to be able to pull actionable insight from big data. Discover how to choose the right solutions for big data analytics, the challenges of converting big data to insight, and more.
EBOOK:
This three-part handbook examines BI and analytics deployments for different functional units in organizations with advice on how to make your program work. First, learn about how BI functions when geared towards sales and marketing, before turning towards a customer service approach. Finally, read about how analytics can help with asset protection
WHITE PAPER:
Today's business intelligence platforms are expensive, labor-intensive to maintain, and have a low adoption rate with business users. This resource introduces an out-of-the-box BI tool that conquers these challenges – read on to learn how.
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.
WHITE PAPER:
This resource examines the value of metadata in business intelligence, and introduces a metadata modeling tool for managing access to all existing data sources and ensuring data trustworthiness.
WHITE PAPER:
This brief resource introduces an open source software platform that includes Hadoop components for distributed processing and big data management.