INFOGRAPHIC:
Big data is driving changes in how organizations process, store and analyze data. The benefits are spurring even more innovation. In this infographic, we take a look at four major trends in big data for 2022.
EBOOK:
Data governance is all about managing data as a business asset and ensuring that data is accurate, consistent, integrated, timely, complete and secure. This report examines the market trends for implementing data governance.
WHITE PAPER:
This resource explores how businesses big and small are navigating the challenges of a big data 2.0 world, and explains how predictive analytics can turn big data into business value.
CASE STUDY:
Kennaw State University needed faster, easier data access, analysis and reporting. See how they transformed HR processes to eliminate errors, saved hundreds of hours annually on HRMS, benefits and payroll services, and how they leveraged self-service business intelligence to non-technical users.
WHITE PAPER:
This brief resource introduces an enterprise distribution of Hadoop that takes the pain out of big data management. Read on to learn how you can perform interactive big data analysis, accelerate big data cluster deployment, and more.
WHITE PAPER:
The reference solution combines Dot Hill storage solutions, Intel Enterprise Edition for Lustre, and Mellanox Infiniband to deliver a highly scalable and high performance infrastructure for oil exploration computing platforms, as well as other HPC applications.
WHITE PAPER:
Access this white paper to get an analysis of large data sets using three different tools that are part of the Hadoop ecosystem – MapReduce, Hive and Pig.
WHITE PAPER:
This brief resource introduces the first cloud service for the entire data pipeline. Inside, learn how this strategy can help you acquire, store, and analyze customer information and big data.
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.
