Big data is complex term to define and it often presents obstacles for businesses. Consult this resource to learn more about how you should look at big data from a business perspective. Find out how big data has changed the way that the business intelligence (BI) landscape operates.
Ensuring that business intelligence data is accurate and consistent is crucial to the success of business intelligence (BI) projects. However, managing BI data quality is becoming more challenging as data varieties and sources increase. View this white paper to find out how you can get a handle on BI data quality.
Read this product datasheet to learn how this data management tool helps organizations harness the value of their IT investments and improve business operations by providing continuous access to business-critical information in real time.
Traditional computing systems are built to analyze only structured data, or to run analytics in batch reporting jobs. Explore how Watson is an example of the new kind of workloads that businesses will apply to achieve their business goals.
In this case study Calit2 and Cyberinfrastructure for Advanced Marine Microbial Ecology Research and Analysis (CAMERA) develop a cost-effective, high-performance environment where researchers have unlimited access to the existing genomics data.
In-memory analytics technology is impressive, but is it really necessary right now for small to midsize businesses (SMBs)? Would an investment provide a true competitive advantage? And what are some ways it be leveraged? Read this e-guide to find expert insight on these questions and get the inside scoop on the rise of in-memory technology.
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