The real-world use of big data

This study highlights the phases of the big data journey, the objectives and challenges of midsize organizations taking the journey, and the current state of the technology that they are using to drive results. It also offers a pragmatic course of action for midsize companies to take as they dive into this new era of computing.
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10 Ways to Boost Computing Performance in Midsize Organizations

With the growing demand for faster business applications and the rapid spread of technology trends like Big Data, computing performance has never been more important. The challenges for midsize businesses are even greater. With fewer resources, IT teams in midmarket organizations need to be able to deliver mission-critical applications at full-horsepower to employees. They also need to be able to do more with less -- more computing power with fewer servers, smaller teams and leaner budgets. This IT Managers' Journal delivers 10 ways IT managers and data center professionals in midsize organizations can deliver more computing power to meet the promises they have made. Topics covered include Linux servers, IBM Power Systems, SAP applications and business systems, a real-world case study showcasing the benefits of replacing underperforming servers, Big Data, techniques for better server management and more. Download this exclusive IT Managers' Journal and learn how to get more out of your data centers today.
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IBM DB2 and SAP software: Optimized for accelerated analytics

The enterprise database provides the critical foundation for any SAP implementation. It must deliver exceptional performance for timely decision making while controlling costs and complexity. IBM® DB2® is uniquely designed to fulfill this need. This brochure highlights: IBM® DB2® with BLU Acceleration includes new capabilities that help enhance performance, simplify management and reduce the total cost of ownership for organizations using the SAP NetWeaver Business Warehouse application.
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Thinking outside the data warehouse

The IBM portfolio combines data warehousing, business analytics and information management software, hardware and solutions. Businesses can use IBM technologies to increase agility, boost performance, lower TCO, maximize value of data assets and make better decisions, faster.
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The Big Data Zoo—Taming the Beasts

Big data is probably the single most important trend in information usage for both business and IT in the past decade. It is changing the way companies make decisions, do business, succeed or fail. Using information and insights intelligently to anticipate and profit from change.
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The IBM Big Data Platform

IBM is unique in having developed an enterprise class big data platform that allows you to address the full spectrum of big data business challenges. The real benefit of the platform is leverage - the ability to start with one capability and easily adds on another. Read this whitepaper to learn about the platform, its core capabilities and how they will be beneficial to an organization.
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The top five ways to get started with big data

Despite the increased focus on big data over the past few years, most organizations are still talking about what big data is rather than focusing on what problems big data can address. Through conducting surveys, studying analyst findings, talking with more than 300 customers and prospects and implementing hundreds of big data solutions, IBM has identified the top five high-value use cases that can be your first step into big data:

Big data exploration
Enhanced 360-degree view of the customer
Security/intelligence extension
Operations analysis
Data warehouse augmentation
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Hadoop for Dummies

Packed with everything you need to know about Hadoop analytics, this handy guide provides you with a solid understanding of the critical big data concepts and trends, and suggests ways for you to revolutionize your business operations through the implementation of cost-effective, high performance Hadoop technology.
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The Top 5 Truths About Big Data Hype and Security Intelligence

The principles of Big Data are the key to advanced security intelligence. The many information security professionals who successfully monitor enterprise security in real time realize that Big Data requirements are nothing new to security information and event management (SIEM) technology. Given their frequent claims about SIEM's limitations in scalability and analytics, newcomers to the Big Data phenomenon are evidently unaware of this fact and lack hands-on experience with true enterprise SIEMs. This white paper discusses the key tenets of Big Data.
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The future of data service delivery and management starts here

Data workloads are rapidly evolving and changing. Today's enterprises have many different types of applications, with different usage patterns, all constantly accessing data. As a result, data services need to be more robust and scalable. IBM PureApplication System and IBM PureData ™ System for Transactions are designed to meet these needs. This paper shows how the latest technology and expertise built into these systems gives businesses an innovative approach to rapidly create and manage highly scalable data services, without the complexity of traditional approaches.
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