EGUIDE:
Data integration and preparation remains the knotty problem at the heart of many data management and business intelligence programmes.Demands on IT leaders in user organisations – especially large, complex ones – are and will continue to be equally complex and pressing as boards look to get business value from data. Read more in this e-guide.
EGUIDE:
This e-guide examines how a shift from traditional data warehousing (DW) appliances to an infrastructure that combines traditional DWs with big data technologies offers new opportunities for businesses to address needs such as costs, flexibility and agility while eliminating key technology silos.
WHITE PAPER:
Banks are bringing together big data projects, transactional processing, data warehousing and analytic tooling. Find out how IBM DB2 for z/OS and DB2 Analytics Accelerator in an IBM zEnterprise environment can help.
EBOOK:
There's more to Hadoop than meets the eye. Along with its core components, there are a whole slew of related software tools packaged by vendors into commercial Hadoop distributions. In this expert Hadoop software tool buyer's guide, learn about features and functionalities, and economical options for managing and analyzing big data in Hadoop.
EBOOK:
Whether or not you already have a set of ETL and Data Integration tools, this checklist will help you assess high-performance ETL solutions for data integration that stands up to today's challenges.
EBOOK:
SearchBusinessAnalytics Benchmark Reports examine customer perceptions and adoption rates of technologies in established segments of the business intelligence (BI) market. Each Benchmark Report focuses on a specific area and surveys senior BI and IT professionals to understand the current market state for that segment of the BI market.
EBOOK:
This expert e-guide discusses how Spark users are overcoming the processing engine's maturity issues to extract optimal value out of big data. Explore the biggest benefits and limitations of Spark and discover where it stands in the market relative to its competitors.
WHITE PAPER:
Find out how 9 different big data Hadoop solutions compare to one another, and learn about the various vendors and differentiated features of each option.
