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Data Modeling White Papers

  • Your Essential Guide to Modern Data Integration

    Sponsored by: Information Builders

    Read this white paper to learn how to work around the data governance process knowledge disconnect between IT and business users and achieve modern data integration.

  • Moving from Relational to NoSQL

    Sponsored by: Couchbase

    This white paper explains the need for non-relational databases, describes advantages of NoSQL, and clarifies the important difference between SQL and NoSQL databases.

  • Data Modeling Sabotages Supply Chain Analytics

    Sponsored by: Incorta

    Analytics has the potential to drive operational efficiencies by providing visibility into your supply chain. Download this white paper to discover the benefits of using a modern approach to supply chain analytics with Incorta. Plus, explore 4 key obstacles facing supply chain analytics today.

  • AI & Automation: Turning data into insights

    Sponsored by: ComputerWeekly.com

    In this e-guide, read more about the trends that are shaping the demand for AI and how organizations including healthcare service providers and F1 racing teams are leveraging technology on their own terms.

  • Modern Data Warehousing: Analytics without the Modeling

    Sponsored by: Incorta

    This Eckerson Group report details 3 new approaches to data-driven environments that are replacing traditional approaches of data warehousing. Learn how the downsides of traditional data warehousing are being tackled by these new methods and with less need for data modeling.

  • 6 Step Guide to Apache Cassandra Data Modelling

    Sponsored by: Instaclustr

    This white paper covers a methodical approach that can be useful in approaching Cassandra data modelling, focusing on 3 simple principles and 6 steps that implement the principles.

  • Managed Cassandra versus DynamoDB

    Sponsored by: Instaclustr

    This white paper explores the strengths and weaknesses of 2 popular NoSQL databases, and the functional differences to look at when selecting a system that best fits your requirements.

  • Big Data Analytics: How to work smarter with data-driven insights

    Sponsored by: ComputerWeekly.com

    In this e-guide, learn about the state of adoption of data analytics in Australia, how Commonwealth Bank is making analytics tools more accessible to small companies and how SAS is prepping its marketers for the data flood.

  • Linking Master Data Management to Big Data

    Sponsored by: IBM

    How does Master Data Management (MDM) impact big data, and vice versa? In this e-guide, Gartner Research vice presidents Andrew White and John Radcliffe, and founder and chief research officer with the MDM Institute, Aaron Zornes, share their insights and advice on leveraging MDM tools and strategies to combat big data and other trends.

  • Utilizing Data-aware Storage in the Age of Convergence

    Sponsored by: IBM

    Access the latest on converged, data-aware storage architectures, which seek to improve performance optimization through smart deduplication and compression schemes, app-aligned caching and tiering, policy-definable QoS, and data protection schemes. Additionally, discover why flash is crucial to convergence.

  • Visualizing the Future of Big Data and Predictive Analytics

    Sponsored by: SearchDataManagement

    Explore how predictive analytics and data visualization can help you make sense of your analytics, how a security expert/cryptographer is using big data analytics and the cloud to make open source code safe for app developers and off-limits to hackers, and more.

  • The Big Data Surge: Data Modeling Challenges & Best Practices for Prepping Big Data Apps for Production

    Sponsored by: IBM

    Surging big data is changing data modeling techniques and app development cycles. Read on to discover what you should expect from big data's near-future and best practices when it comes to transitioning big data applications into the production stage.

  • A New Measure of Sales Success

    Sponsored by: SearchCRM

    This expert guide divulges essential information on how to use the newest sales tools for customer prospect generation; bolster sales forecasting with data modeling; use location-based apps; and more.

  • A New Measure of Sales Success

    Sponsored by: SearchCRM

    This expert guide divulges essential information on how to use the newest sales tools for customer prospect generation; bolster sales forecasting with data modeling; use location-based apps; and more.

  • Well-Built Models Set Up Big Data Projects to Prosper

    Sponsored by: SearchBusinessAnalytics

    Predictive analytics in big data modeling provide organizations with increased opportunities to use their collections of big data.

  • Predictive Analytics in Action: Real-World Examples and Advice

    Sponsored by: SearchBusinessAnalytics

    Building predictive models is a complex, time-consuming process that demands a lot of skill. This expert e-guide reveals key steps to develop and implement a successful predictive analytics initiative. Discover how you can monitor the accuracy of predictive models, identify ideal candidates for predictive analytics teams, and more.

  • Data Visualization: 7 Considerations for Visualization Deployment

    Sponsored by: SAS

    The following white paper explores the top 7 considerations for implementing a data visualization solution in your enterprise. Learn how data visualization can give way to far deeper insights, better decision making, and much more.

  • Harvard Business Review's Guide to Visualizing Data

    Sponsored by: SAS

    The following Harvard Business Review report explores the current state of data visualisation. Hear from many leading authors on how to leverage data visualisation, and the right times to use it.

  • Does Data Modeling Still Matter Amid the Market Shift to XML, NoSQL,Big Data, and the Cloud?

    Sponsored by: Embarcadero Technologies, Inc.

    Many organizations have reconsidered their commitments to data modeling in the face of NoSQL and big data systems, as well as XML information management. However, should you really be shifting focus away from data modeling?

  • Rapid-deployment Solution for Mobile Analytics Visualization

    Sponsored by: Hewlett-Packard Enterprise

    In this white paper, discover a rapid-deployment technology for mobile analytics visualization, so you can take full advantage of data visualization capabilities anywhere, at any time. Explore the benefits you'll get with rapid-deployment, and learn how easy it is to get a mobile analytics strategy up and running within two weeks.

  • Mastering SAP HANA Data Modeling for Maximum Performance

    Sponsored by: HP and CenturyLink Technology Solutions

    SAP HANA offers new levels of data modeling that exceeds what's possible with traditional relational database management systems (RDBMS). While data is still stored in tables, how the storage model is designed differs greatly from traditional RDBMS, resulting in better compression and faster reads.

  • How to Get the Most from SAP HANA

    Sponsored by: Arrow and SAP

    In this e-guide, learn how you can master SAP HANA for increased speed of development, speed of realization, flexibility, and more – for the maximum impact on your organization

  • Getting Started with Master Data Management

    Sponsored by: SearchDataManagement

    Master data management (MDM) can help companies make better use of their corporate data by ensuring that iformation is accurate and consistent across all systems. In this e-book, gain best practices and expert tips and advice on how to successfully structure and manage MDM programs.

  • Choosing visual properties for successful visualizations

    Sponsored by: IBM

    In the following article, IBM experts address a key aspect in the design process.

  • Service Management: Taking Business to the Next Level

    Sponsored by: LabTech Software

    In this e-guide, gain essential knowledge of recent developments around IT services. Read on to learn why success entails more than delivering snazzy services, and why enterprise architects are working to bring SOA and master data management (MDM) efforts together.

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