In-memory Computing: Lifting the Burden of Big Data

Business data is growing at an unprecedented speed, and organizations of all sizes, across all industries, have to face the challenge of scaling up their data infrastructure to meet this new pressure. Advances in server hardware and application design have led to a potential solution: in-memory computing. Read Aberdeen's Analyst Insight report and see how in-memory computing can address two of the "three Vs" of big data.

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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

Analyzing Big Data: The Path to Competitive Advantage

Big data is different from ordinary database information because of the massive volume, the variety, and the velocity. And the data mix now includes product reviews, video, blogs, tweets, and more. But the biggest current challenge may be to articulate a compelling business case for using big data. Find out how companies in various industries are finding value in the data they have already collected and making it actionable. Read More

Data Blending for Dummies

Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.  Read More

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In-Memory Databases/In-Memory Analytics

The appeal of in-memory technology is growing as organizations face the challenges of handling and utilizing big data. There are compelling technical advantages to having an in-memory database, but the business benefits can be far-reaching, as the knowledge gained from analytics means that a data-driven business can closely engage with and anticipate the needs of customers and markets. This paper provides a look at the benefits of in-memory technology for dealing with big data and short overviews of in-memory/analytics solutions by five of the major vendors in the space. Read More

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

  • Source: SAP
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With the revolution of in-memory computing already under way, the question isn’t if this revolution will impact businesses, but when and how. This paper details how in-memory computing can change the way you manage business intelligence (BI). For business and information technology (IT) executives, the paper furnishes substantial information and business examples about what changes they can look forward to and how those changes can catalyze their strategic initiatives. Read More

Faster, Higher, Stronger: In-memory Computing Disruption and What SAP HANA Means for Your Organization

  • Source: IDC
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Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. Download this white paper for full results. Read More
 
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