In-memory Analytics: Leveraging Emerging Technologies for Business Intelligence

  • Source: IBM
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Traditional analytic tools run queries against a data warehouse (DW) with user queries being processed against the data stored on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is loaded into memory. This results in dramatic improvements in query response time and end-user experience. Find out how in-memory analytics can help your organization.

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Best Practices for a BI and Analytics Strategy

  • Source: IDC
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A growing number of organizations are moving toward having more pervasive business intelligence (BI) by turning to evidence-based decision making supported by a range of BI and analytics technology and processes that enable decision makers to have the best possible intelligence about customers, finances, operations, suppliers, and the market. This white paper addresses several questions that BI customers are facing. Read More

Delivering Information Faster: In-Memory Technology Reboots the Big Data Analytics World

  • Source: SAP
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In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing. See how it works and how to revolutionize the way you run your business.  Read More

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SAP In-memory Computing Technology Changing the Way Business Intelligence Is Managed

  • Source: SAP
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