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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Pay As-You-Grow Data Protection

Data growth continues to be a major problem in the business world, and many small and medium businesses have just as hard a time responding to the challenge as large enterprises do. Although smaller organizations generally have less data to store, they also have fewer IT resources to work with. As a result, smaller companies are often the ones that are most harmed by rapid data growth. In order to get the data protection and recovery functionalities they need while staying within their budgets, small and medium businesses need a solution that takes a creative approach to data protection. IBM Tivoli Storage Manager Suite for Unified Recovery gives small and medium businesses the opportunity to start out with only the individual solutions they need, and add new functionalities as they grow. In addition, TSM SUR only requires businesses to pay for the amount of data they store after compression and deduplication.
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End to end testing for SAP applications powered by IBM

Join this webcast to know how testing for SAP powered by IBM confers not just automated functional testing and performance testing but goes beyond to help you reduce testing efforts by 40% to 50% by enabling impact analysis and test scope optimization. Virtualization capability helps bring integration testing earlier into the life-cycle allowing you to know whether the integration of SAP and non-SAP system works before actually deploying it. Join this webcast to know the next generation testing for SAP powered by IBM.
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Customer Experience Strategy: Meeting Expectations and Changing Dynamics in Service

In this Whitepaper the diverse sets of consumer and business attitudes toward customer support are analysed, with an emphasis on social media and Mobile Device technology. This Whitepaper presents compelling evidence regarding the impact Customer Experience can have on business performance outcomes. This Whitepaper concludes by examining the critical issues that have been raised by the data, analyses the findings and presents a number of ideas that will help organisations minimise the challenges and risks that may occur when implementing a Customer Experience Strategy.
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