WHITE PAPER:
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.
EZINE:
In this e-zine, discover how big data impacts the nitty-gritty of power and cooling, networking, storage and data center expansion, examples of companies that are updating their data centers to deal with big data, why characteristics of big data other than its size should be closely considered when planning changes to your data center, and more!
DATA SHEET:
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.
WHITE PAPER:
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.
WHITE PAPER:
The key enterprise risk management (ERM) issue for many financial institutions is to get enriched data in a single place in order to report on it. Learn best practices for data management that are critical for ERM.
PRESENTATION TRANSCRIPT:
Read this presentation transcript to discover SAP's groundbreaking in-memory computing technology, SAP HANA, and learn how to leverage its analytical power to improve your BI strategy.
EBOOK:
IT monitoring tools deliver plenty of data, but sometimes, the volume can be a problem. It's a challenge to know how closely to monitor infrastructure and applications, especially when some tools monitor apps in real time.
CASE STUDY:
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.
WHITE PAPER:
With the volume of data today, traditional disk-based systems can not process quickly enough to make it fully useful. In this white paper, gain insight into the next generation of in-memory computing technology.
