Data Mining Research
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New Data Warehousing Strategies for Big Data
Sponsored by: HP & Intel®High-volume unstructured data has its own set of characteristics that often make it too difficult for traditional standalone and relational databases to process. As a result, a major shift in big data warehousing is taking place, and this expert e-guide will cover how to be successful in tackling the challenges of new warehousing strategies.
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Extracting Business Value from Unstructured Data
Sponsored by: HP & Intel®Though the value of extracting intelligence from high-volume unstructured data is attractive, attempting to do so without a strategy could be disastrous for your company. This expert-created e-guide illustrates how companies can successfully extract and analyze data to make better business decisions and reap the most benefits.
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Visual Discovery Tools
Sponsored by: TechTarget Business AnalyticsVisual discovery tools help enable business users to access and analyze data with minimal assistance from the IT department. Consult this white paper to learn more about who the target users of visual discovery tools are and how they help analyze data in a variety of systems.
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Taking Advantage of Big Data Analytics
Sponsored by: TechTarget Business AnalyticsIn order to plan and implement a successful big data analytics project, an organization needs to consider a range of different technologies and determine what kind of architecture it is going to deploy.This in-depth resource will put you on the right path to tailoring a big data project right for your organization.
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Skills Forecast: Big Data Analytics
Sponsored by: TechTarget ComputerWeekly.comThis report analyses the projected demand for IT professionals with Big Data Analytic skills in the UK over the next five years.
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Presentation Transcript: Best practices for integrating and optimizing analytics into your DB2 for z/OS data
Sponsored by: IBMView this presentation transcript and learn how you can integrate and optimize Cognos® BI, SPSS® predictive analytics and DB2 Analytics Accelerator with your DB2 for z/OS data to deliver greater benefit to the business — and speed query response times.
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Creating an effective ‘big data’ analytics program
Sponsored by: Hewlett Packard EnterpriseYou know you need a real-time business intelligence (BI) and analytics strategy, but the proliferation of business data has made real-time intelligence projects too complicated. Read this e-guide to learn the first 5 steps to crafting a big data analytics program and uncover possible challenges you could face and tips on how to avoid them.
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Information Optimization Transformation Experience Workshop
Sponsored by: Hewlett-Packard EnterpriseMany organizations continue to struggle with basic BI competencies, such as information quality, data integration, governance, and accessibility. Read on to learn how you can benefit from an online Big Data workshop where your business and IT leaders can collaborate on the latest strategies and trends about strategic information management.
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The Human Face of Big Data: Pulse of the Planet
Sponsored by: TechTarget ComputerWeekly.comBig Data is about to radically transform our understanding of the planet, writes entrepreneur and commentator, Esther Dyson.
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The Human Face of Big Data: Data Driven
Sponsored by: TechTarget ComputerWeekly.comSoftware engineers are transforming the daily lives of hundreds of millions of people for good and for ill, writes Jonathan Harris.
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Understanding Oracle business intelligence and analytics
Sponsored by: ParAccelIn this SearchOracle.com expert e-guide, read a Q&A that dives into the topics covered at the annual summit held this January by the business intelligence (BI) special interest group within the Independent Oracle Users Group (IOUG), including advanced Oracle analytics, connectors to Hadoop, the R statistical programming language, and big data.
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Transitioning from Disk-Based Storage to In-Memory Computing
Sponsored by: Hewlett Packard EnterpriseAccess this exclusive resource to learn how transitioning from disk-based storage to in-memory storage isn't a one-size-fits-all strategy. Analyze your organization's unique needs and goals and take the first step toward harnessing your data instead of drowning in it.
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The Big Data Zoo - Taming the Beasts
Sponsored by: IBMBig data must be managed and integrated across the entire enterprise to extract its full value and to ensure its consistent use. Access this extensive resource to learn the importance of an integrated platform and how to get started.
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Best Practices for Scaling a Big Data Analytics Project
Sponsored by: HP & Intel®Access this expert resource to examine the proven data management and business intelligence best practices that translate well to big data analytics. Discover best practices for scaling your big data project once you get started.
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Big Agendas for Big Data Analytics Projects
Sponsored by: HP & Intel®Access this exclusive resource offering advice on what to consider when it comes to your big data analytics project and how to get started. Discover what questions to consider and identify the technology that will best support you.
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The Evolution of the ‘Big Data’ Concept
Sponsored by: TechTarget Business AnalyticsAccess this exclusive guide to analyze the evolution of the big data concept. Examine how many analysts are coming to believe that the 3-V definition falls short. Continue on to delve further into the big data discussion and discover how Gartner, who originally introduced the 3-V concept, has begun to build on this rudimentary interpretation.
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Skills Needed in Extracting Value from Big Data Projects
Sponsored by: HP & Intel®While the technologies available for big data are important, it's critical to make sure you have the right people with the right skills and experience to successfully leverage big data analytics tools. Inside, take a realistic look at what to plan for and examine the key skill sets and roles that should be a part of your big data analytics plan.
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Spotlight on ISVs: Why embedded BI and analytics supersede traditional data warehousing
Sponsored by: BirstTraditionally, data warehousing, BI, and analytics have all gone hand-in-hand. Mining data from one centralized location just made sense. But, as the need for real-time insight has grown, the process of analyzing data from DWs is too cumbersome. Read on to learn why leveraging embedded BI and analytics can help you gain intelligence faster.
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The Future of Unstructured Big Data Analytics
Sponsored by: Datawatch CorporationIn this exclusive e-guide, explore how businesses will need to reconsider how they are organized and how they operate to leverage big data. As a bonus, discover common misconceptions about unstructured data in a Q&A with Mark Madsen, president of the consulting and research firm Third Nature Inc.
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Tap Hidden Business Intelligence With HP DL980
Sponsored by: Hewlett Packard EnterpriseAccess this white paper to learn how most BI is coming from unstructured and semistructured data. Examine how you can manage and leverage this fully in today's technology landscape.
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Enterprise Social: Building the Business Case and Getting Started
Sponsored by: TechTarget Content ManagementIn this guide, Pamela DeLoatch looks at the key aspects of getting started with enterprise social deployments and catalogs some practical advice for organizations interested in creating and implementing a strategy of their own. Read on to access 5 must-ask questions before investing in an enterprise social network.
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E-Guide: Social Analytics: Opportunities and Challenges
Sponsored by: IBMRead this e-guide to learn how social media analytics can help businesses improve marketing by quantifying customer value at different stages of the life cycle, but also that they need tools like in-memory computing to provide real-time analysis of vast volumes of customer behavior data.
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FAQ: Hadoop for BI and Analytics
Sponsored by: SAP America, Inc.Despite its idiosyncrasies and lack of user-friendliness, the Apache Hadoop framework offers real advantages for organizations tackling big data challenges and real-time analytics. Access this e-guide for answers to FAQs for BI professionals seeking to leverage the benefits of this niche technology as part of their big data analytics initiatives.
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Demystifying the scale up vs. scale out debate for data warehousing
Sponsored by: SAP America, Inc.In this expert guide, IT analyst Tony Iams, SVP, Ideas International, delves deeper into the scale up vs. scale out debate. Learn about the growing popularity of scaling out options, such as massively parallel processing (MPP) and distributed computing approaches.
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Presentation Transcript: How analysis of data is starting to support clinical decisions
Sponsored by: Orion HealthIn this transcript, you'll read how Shahid Shah, one of the healthcare industry's foremost analysts and technology experts, recommends aligning your hospital's IT strategy to integrate BI data at the point of care to support clinical decisions.
