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Business is now demanding more analytical power to analyze new sources of structured and multi-structured data. The IBM Big Data Platform rises to the challenge to create this new analytical environment, making IBM a serious contender to support end-to-end analytical workloads.
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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.
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This concise case study outlines how they chose to leverage a Data warehousing as a Service (DaaS), allowing their pricing analysts to have access to a live analytical database, reports, and a team of experienced consultants who understand their business requirements.
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View this white paper to learn how one company strengthened analytics by developing a focus on customised healthcare. It linked to relevant operational systems, how to optimise information flow and how to support the overall strategic control of the hospital at just the touch of a button.
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You need to be able to store and analyze data as quickly as it's pouring into your business -- and that's pretty fast. Unfortunately, traditional data warehousing technologies aren't often up to the task. View this informative resource to get an in-depth look at three must-have capabilities for effective modern data warehouses.
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This White Paper explores how traditional approaches fall short, what the automated solution and its benefits look like, how the on-demand delivery model best represents the integrated stack necessary for automation, and how the automated, on-demand model brings the benefits of BI to a far broader audience than ever before.
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This resource examines how an integration and governance strategy can help you deliver trusted information for big data and data warehousing. Read on to learn how you can set the stage for more effective, reliable decision-making.
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Learn how Pink OTC Market Inc., the third largest U.S. equity trading marketing place, built a highly available and reliable (no downtime in a year of production use) data warehouse using Vertica's Analytic DBMS that cost-effectively stores billions of records and scales easily by simply adding CPUs without incurring additional licensing fees.
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Proper master data management (MDM) is very valuable when available to enterprise business processes and analytics. However, master data projects are often challenging, architecturally complex, time intensive and expensive. This paper explains why the time is right for open source MDM, and predicts the effects of open source on the MDM marketplace.