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.
EBOOK:
Overcome the four biggest challenges of moving mainframe data to Hadoop: data integration, skills and expertise, security, and escalating costs.
CASE STUDY:
This case study reveals how the right appliance enabled leading oil supplier Petrol d.d. to dramatically decrease analytics query times – allowing the company to effectively use historical and transactional data to increase retail sales.
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.
EGUIDE:
Applying technology like machine learning to transaction data could significantly increase the proportion of money laundering activity that is detected. It is projects like this that are driving demand for data science skills. In this e-guide, read about the power of data against money laundering, and how to get the skills to turn data into gold.
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:
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.