RESEARCH & RESOURCES

Research & Resources

Research Reports

  • Best Practices Report | Data Lakes: Purposes, Practices, Patterns, and Platforms BPR Data Lakes cover

    One of the more popular subjects in data modernization today is the addition of data lakes to many different ecosystems. This report defines data lake types and discusses emerging best practices, enabling technologies, and real-world use cases. March 29, 2017 Read Now

  • Best Practices Report | Data Science and Big Data: Enterprise Paths to Success

    Big data and data science can provide a significant path to value for organizations. Download this report for organizations’ experiences with and plans for big data and data science including both technology plans and organizational strategies. December 21, 2016 Read Now

  • TDWI Checklist Report | Data Modernization for the Telecommunications Industry

    Now is the time for the telecommunications industry to devise a strategy for modernization of the data management environment in ways that streamline the end-to-end processes for ingesting, transforming, loading, reporting, delivering, and analyzing data. This Checklist Report describes a vision for the future that includes using an architecture that leverages a hybrid environment combining traditional enterprise data warehouse (EDW) techniques with the ability to deploy augmentation tactics on big data environments, such as those built using the Hadoop ecosystem. December 2, 2016 Read Now

  • TDWI Checklist Report | Emerging Best Practices for Data Lakes

    Forward-looking businesses need discovery-oriented analytics, but discovery analytics tends to work best with large volumes of raw source data. The data lake enables analytics with big data and other diverse sources. This TDWI Checklist Report discusses many of the emerging best practices for data lakes. December 1, 2016 Read Now

Assessments

  • TDWI IoT Readiness Assessment TDWI IoT Readiness Guide Cover image

    The Internet of Things (IoT)—a network of connected devices that collect and interpret data over the Internet—is a hot and growing trend. These devices—which include sensors, RFID tags, and more—are in your home in smart appliances; you’re wearing them for health and wellness. They are on factory floors, in office buildings, on farms, and much more. IoT is being used by organizations to change their business model, improve operations, and improve the customer experience. Some view it as a competitive necessity. Read Now

  • TDWI Analytics Maturity Model

    TDWI has developed an analytics maturity model to help you determine the maturity of your organization's analytics initiatives when compared with other companies. The model provides the big picture of an analytics program, where it needs to go, and where you should concentrate your attention to create more value for your data. Read Now

  • TDWI Big Data Maturity Model

    TDWI developed the Big Data Maturity Model to describe the stages that most organizations follow when they embark on big data initiatives. The model provides the big picture of a big data program, where it needs to go, and how to get there. As organizations move through these stages, they gain more and more value from their investments. Read Now

  • TDWI Hadoop Readiness Assessment

    TDWI's Hadoop Readiness Assessment is an online questionnaire that asks how prepared you and your organization are to get full value from Hadoop. When you complete the questionnaire, the assessment tool immediately shows you scores that quantify your readiness for Hadoop. It is designed to help answer your questions about where to focus your best efforts with Hadoop. Read Now

Publications

  • TDWI E-Book | EDW Modernization: Becoming a Data-Driven Enterprise Hortonworks DW Modernization ebook cover image

    Read this e-book to find out what it means to be driven by data and what it takes to transition to such a culture. May 1, 2017 Read Now

  • TDWI Checklist Report | New Data Practices for a Single Customer View and Omnichannel Marketing

    Modern marketers are capturing success with an arsenal of advances in data management, software automation, and customer analytics that enable a single view of the customer. New sophisticated practices in omnichannel marketing leverage that view so marketers can serve burgeoning numbers of customers and channels. This Checklist Report drills into the data requirements of modern digital marketing, with a focus on the single customer view and omnichannel marketing. May 1, 2017 Read Now

  • TDWI Checklist Report | New Strategies for Visual Big Data Analytics

    Organizations need a strategy for a modern data platform that can support users who need more than traditional BI and OLAP provide but don’t have the specialized skills of advanced data scientists. This Checklist focuses on six key considerations for modern data platforms that enable more users to benefit from big data through easier to use, visual big data analytics. April 17, 2017 Read Now

  • TDWI Checklist Report | Machine Learning for Business: Eight Best Practices to Get Started

    In a recent TDWI survey, 51 percent of respondents said that enhancing business analysts’ skills was one of their top two strategies for growing their data science competencies. How do businesses get started with machine learning? This Checklist defines machine learning and discusses best practices for the business as it takes the next step on its analytics journey toward using machine learning. March 29, 2017 Read Now

Webinars

  • Metadata Discovery Doesn’t Have to be Painful

    Today’s BI and analytics landscape is more complicated than it ever has been. Most organizations have repositories of data everywhere, many BI and analytics technologies, and multiple streams of data integration and/or data preparation – all with their own sets of metadata. No wonder BI implementers and business users are frustrated, confused, and lost when it comes to using these critical assets. June 6, 2017 View Now

  • Ask the Expert: Should You Learn MapReduce or Spark?
    TDWI Members Only

    Want to become a data engineer but aren’t sure which technologies are the right fit for the job? People switching into big data are faced with a difficult decision—should you learn MapReduce or Spark? The answer seems simple, but requires more information and insight. Answering this and other questions correctly places you on the path to becoming a data engineer. June 19, 2017 View Now

  • Machine Learning – What’s All the Hype About?

    Machine learning is the analytics buzz word of the day. While some of the techniques have been around for decades, what has changed is the volume and diversity of data as well as the compute power to find insights in that data faster. That means that machine learning against disparate and big data can be used to get to insight – and fast. Machine learning is being used in predictive analytics in numerous use cases from customer behavior analysis to predictive maintenance to image recognition and more. The value is real and growing. June 21, 2017 View Now

  • Architecting a Hybrid Data Ecosystem: Achieving Technical Cohesion and Business Value in a Multi-platform Environment

    One of the strongest trends in data management today and into the future is the development of complex, multi-platform architectures that generate and integrate an eclectic mix of old and new data, in every structure imaginable, traveling in time frames from batch to real time. The data comes from legacy, mainstream enterprise, Web, and third-party systems, which may be home grown, vendor built, open source, or a mix of these. More sources are coming online from machines, social media, and the Internet of Things. These data environments are hybrid and diverse in the extreme, hence the name hybrid data ecosystems (HDEs). June 22, 2017 View Now

White Papers

Best Practices Awards

TDWI’s Best Practices Awards program is designed to identify and honor companies and other organizations that have demonstrated best practices in developing, deploying, and maintaining solutions.

Solution Gateways

  • SAP

    SAP

    5 Reports to Help you Prepare for the Future of Analytics

  • informatica

    Informatica

    Data Management for Next-Generation Analytics

Product Directory

Take advantage of the wealth of insight and information available from industry experts in TDWI's Online Directory. Access a network of highly qualified industry-specific suppliers.