DEVELOPMENT, DEPLOYMENT & DELIVERY

Languages and software environments for analytics development as well as analytics deployment and delivery models to help organizations achieve their goals.

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  • Ask the Expert on the Roles and Construct of a Thriving Analytic Team
    TDWI Members Only

    Most organizations believe they will achieve better analytic results if they populate a deeper bench of experienced data scientists and machine learning practitioners. But this is akin to building a home exclusively with highly skilled framers, brick layers and cabinet makers. You’ll end up with a solid structure and great workmanship, but not a true functional home. more

  • Building a Successful Data Lake in the Cloud

    Data lakes on Hadoop have come on strong in recent years, because they help many types of user organizations – from Internet firms to mainstream industries – capture big data at scale and analyze or otherwise process it for business value. more

  • Ask the Expert on Determining the Economic Value of Data (EvD)
    TDWI Members Only

    Most organizations lack a road map for leveraging data and analytics to optimize key business processes, uncover new business opportunities or deliver a differentiated customer experience. They do not understand what’s possible with respect to integrating data and analytics into the business model. And the Internet of Things only exacerbates the volume and variety of data that organizations could be capturing. more

  • Ask the Expert: Three Big Dilemmas of BI
    TDWI Members Only

    Most business intelligence (BI) systems were initially designed to support managed forms of reporting and simple analytics. Reports in these BI systems needed to be auditable, governable, tested, required high data quality, and so on. Now, however, organizations want to do more with their BI systems than reporting. more

  • Understanding and Overcoming Challenges in Data Warehouse Modernization

    As the rate of data management innovation accelerates, many data warehouse professionals are beginning to identify where gaps in the conventional data warehouse architecture prevent the organization from getting the best advantage from its information assets. Open source platforms, big data systems, and cloud computing all promise to revolutionize the pervasiveness of business intelligence and analytics across the organization. Consequently, many of these professionals are exploring ways to modernize their business intelligence, reporting, and analytics environments. more

  • IoT’s Impact on Data Warehousing: Defining IoT in Terms of Its Data Requirements

    The Internet of Things (IoT) is a computing paradigm where a widening range of physical devices—including smartphones, vehicles, shipping pallets, kitchen appliances, manufacturing robots, and anything fitted with a sensor—can transmit data about their location, state, activity, and surroundings. Depending on the device type, some may also receive data and instructions that control device behavior. more

  • Making Multiplatform Data Architectures Work for You: Common Use Cases and Reference Architectures

    To leverage the new wave of advanced data sources available, users and architects are turning to a multiplatform data architecture (MDA), where numerous diverse data platforms and tools are integrated in a multiplatform, distributed architecture. An MDA is typified by an extreme diversity of platform types that may include multiple brands of relational databases, NoSQL platforms, in-memory functions, and tools for data integration, analytics, and stream processing. Any of these may be on premises, in the cloud, or in hybrid combinations of the two. more

  • Defining a Multiplatform Data Architecture and What It Means to You

    A revolution is occurring in modern analytics, driven by our ability to capture new sources of information at a detail previously too complex and costly to imagine. As more data comes from new sources (from machines to social media) and is applied to new applications, data is evolving into greater diversity, including every variation of data type from unstructured to multistructured. Even as new tools to analyze and manipulate this newly available resource come online, it is not enough to look at the data manipulation layer alone. more

  • Ask the Expert: Ask the Expert on Data Maturity
    TDWI Members Only

    An increase in data maturity correlates to an increase in business success. Yet though organizations gladly allocate budget to business projects, they neglect data maturity—even to the point of allowing it to deteriorate. more

  • 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). more

  • 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. more

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    Upcoming TDWI Events

    Conferences, Leadership Summits, Seminars, and Bootcamps

    • Conference - UPDATED TDWI Orlando Conference

      December 3-8, 2017
      SUPER EARLY BIRD CLOSES OCT 20

      TDWI Orlando brings the future of data and analytics to life. Our comprehensive agenda covers the most important topics and success factors for high-impact data insights, with expert instructors whose only goal is to get you to the next level. Learn to enable rapid scalability and elasticity, manage users and data security, and democratize your analytics efforts.

    • Leadership Summit TDWI Orlando Leadership Summit

      December 4-5, 2017
      SUPER EARLY BIRD CLOSES OCT 20

      An interactive summit for business, IT, and analytics leaders who select and implement emerging technologies to solve new challenges and align with new business opportunities. Register and participate in intimate sessions, network with your peers and learn best practices from the leaders of the data revolution.