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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  • Squeeze Every Drop of Business Value from Your Data Lake

    Data catalogs contribute ease, precision, and productivity of analytics, self-service, and governance to modern data platforms. Learn how a catalog can inventory data in a data lake for self-service data exploration and data-driven operations and help users find the right data quickly. more

  • Best Practices for Managing and Monitoring Open Source Predictive Models

    Building a predictive analytics/machine-learning model is far earlier than deploying one, which can take six months or more. Learn how to overcome deployment challenges and monitor models in production, the role open source plays, and what technologies can help support deployment of these models. more

  • Open Source for Predictive Analytics and Data Science: Trends, Opportunities, and Challenges

    Learn about the pros and cons of open source for predictive analytics and data science. We’ll discuss the trends in open source analytics, commercial versus open source options for analytics, and how vendors support open source analytics. more

  • Multiplatform Data Architectures

    The content of this webinar is based on the research findings of a new Best Practices Report by TDWI’s Philip Russom called “Multiplatform Data Architectures: Addressing Complex Modern Requirements for Hybrid Data and its Business Use”. more

  • Modern Metadata Management: Boosting BI capacity with automation and machine learning

    This webinar discusses many of these functions and their business impact, including intelligent tool automation, embedded analytics, metadata scanning, and metadata management. more

  • New Practices in Data Cataloging

    This webinar will drill into the new functionality that is available through data cataloging, plus the beneficial use cases for both business and technical programs. more

  • Getting Started with Data Integration in the Cloud

    TDWI has recently completed a new Checklist Report that gets users started with data integration in the cloud. The report looks at current trends and requirements, then recommends starting points and best practices for users who need to embrace cloud data integration. more

  • How to Design a Data Lake with Business Impact in Mind

    In this webinar you will learn what organizations need from a data lake and how to accommodate data labs, sandboxes, self-service, and other data exploration approaches. You'll also learn how business requirements deeply affect data lake design patterns and system architectures, plus how most data lakes integrate tightly with data warehouses, analytics repositories, marketing campaign and channel data, and other enterprise data environments. more

  • Data Architecture for IoT Communications and Analytics

    This webinar explores some fundamental aspects of IoT data architecture that will continuously adapt to the dynamic nature of massive numbers of connected sensors and other end-point devices. We will examine IoT communication, data streaming, ingestion and analysis, and deployment of developed analytical models for automated and predictive decision making. more

  • Modernizing Data Analytics: Moving Beyond Hadoop

    In this webinar, we will explore some of the past factors that motivated the move to Hadoop for data management and analysis and then consider the relevance of those factors as we move toward the future. We will then discuss alternatives for modernized data warehousing, followed by a discussion of how to dovetail the use of Hadoop in a modernized data warehouse environment. more

  • The Automation and Optimization of Advanced Analytics based on Machine Learning

    In this TDWI webinar, you will learn about data, tool, platform, and technology requirements for machine learning and how automation can help optimize ML-driven advanced analytics. more

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    Upcoming TDWI Events

    Conferences, Leadership Summits, Seminars, and Bootcamps

    • Conference TDWI Chicago Conference

      April 28-May 3, 2019
      Registration Closes April 26

      Join us for our second conference of the year in the Second City, TDWI Chicago, to discuss the latest developments in enterprise analytics, data strategy, and business intelligence. Dive into industry best practices with world-renowned speakers and get in-depth training in all things data.

    • Strategy Summit TDWI Chicago Strategy Summit for Data Management Chicago

      April 29-30, 2019
      Registration Closes April 26

      The TDWI Chicago Strategy Summit for Data Management offers leaders, Chief Data Officers, directors, and executives the chance to discuss strategies for managing big data and data management programs. Learn what’s new and what’s next for data, attend a workshop, and plan your data strategy for the year with seasoned professionals at this two-day event.