EZINE:
Businesses must evaluate what big data technology they need most – whether it's Hadoop or in-memory analytics tools, finding the right fit takes planning.
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.
PRESENTATION TRANSCRIPT:
According to expert analysts, 80% of data is unstructured and without the right platform, this data is essentially unusable to businesses. Read this transcript to discover how the right architecture and strategy can enable you to unlock the true value of big data.
VIDEO:
This brief video introduces a big data discovery strategy that puts the power of big data in your hands – allowing you to affordably justify and prove your big data innovations before you put them to work.
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.
EBOOK:
Overcome the four biggest challenges of moving mainframe data to Hadoop: data integration, skills and expertise, security, and escalating costs.
EBOOK:
This expert handbook offers practical advice that will help your organization evaluate, plan, and manage a real-time business intelligence (BI) and analytics deployment.
WHITE PAPER:
This resource introduces a tool for enterprise-wide information search, navigation, and discovery, which can help your organization harness and optimize growing data volumes.
EGUIDE:
This expert e-guide from SearchBusinessAnalytics.com explores the need for data-driven decision-making skills in the age of big data, and reveals Gartner's basic business rules for driving big data success. Read on to learn more.
WHITE PAPER:
This white paper from Bloor Research examines how IBM's database Informix can be used in a hybrid transactional/analytics environment or for data warehousing applications in today's big data world.
