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BIG DATA

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Research & Resources

Webinars

  • Modernizing Your Approach to Reporting and Analytics

    In this webinar, we recommend modernizing the organizational approach to analytics as you modernize the reporting and analytics environment. Learn why you should avoid a "lift and shift" approach and how and why to transition from data ingestion to data onboarding. March 25, 2021 view now

  • Data Architecture for IoT Communications and Analytics

    Executing your IoT vision demands organization and discipline when it comes to data management and oversight, and in this webinar we consider aspects of a data architecture for IoT communications and analytics. February 23, 2021 view now

  • What's Ahead in Data Management in 2021?

    The webinar panel brings together a panel of experts, moderated by Philip Russom, TDWI’s lead analyst for data management, to discuss the hottest trends in data management, including: data volumes, structures, sources, interfaces, and latencies; new data platforms; data management in the cloud; data catalogs and glossaries, and machine learning and AI. December 17, 2020 view now

  • What’s Ahead in Data Management in 2020?

    Join a panel of experts hosted by Philip Russom, TDWI’s lead analyst for data management, as they discuss data management’s most important trends, including evolving data volumes, structures, sources, interfaces, and latencies, new data platforms, cloud data management. December 18, 2019 view now

  • Easing the Path from Cloud Data Lakes to Visual Analytical Insight

    Cloud data services, new technologies, and best practices for data ingestion, integration, and visual analytics are coming together to enable your organization to break out of the doldrums. Learn how you can benefit from innovations that will unleash users and drive better decisions. June 25, 2019 view now

  • Building a Modern Operational Data Warehouse: Seven Tips for Success with Hybrid Data

    How do you get full business value from hybrid data with a modern operational data warehouse (ODW)? Learn how an ODW unifies hybrid data from multiple sources to provide analytics insights rapidly and how an ODW incorporates tech innovations such as columnar data and cloud services. March 27, 2019 view now

Team Training

  • Architecting a Big Data Infrastructure for Modern Analytics

    The session goes into details around end-to-end automation for big data. We will also discuss topics related with best practices around data disaster recovery as well as cybersecurity. more

  • TDWI Big Data Fundamentals: Creating Value from Nontraditional Data Sets

    Big data is a hot topic in BI and analytics. Yet it is a complex topic that is still in the early stages of evolution. Successful big data projects that deliver real business value are challenged by multiple definitions and rapidly shifting technologies. more

  • Data Modeling in the Age of Big Data

    The big data phenomenon expands the purpose and changes the role of data modeling. The level of uncertainty about data modeling in today’s data ecosystems is high. Most practitioners have more questions than answers. more

  • Big Data Roadmap

    Big data has become the new normal. Every enterprise wants to know how to integrate this new type of data and the associated infrastructure changes that need to be implemented. more

  • Evolving Information Architecture

    Big data, Hadoop, and data scientist are all buzzwords that have captured the attention of the industry. Enterprises today are interested in investing in big data programs. more

  • Data Warehousing in the Age of Analytics and Big Data

    The digital age has brought several tipping points from all perspectives in the world of data. Today, all sizes, formats, types, and classes of data are being generated, and we need an infrastructure that can capture, transform, and analyze it as quickly as it is created. The technology landscape is evolving rapidly from an infrastructure and programming platforms perspective. more

Upcoming Event Courses

  • TDWI BI and Analytics Executive Briefing

    Business intelligence and analytics are at the heart of business management today. Everyone from executives to knowledge workers depends on information to maximize business effectiveness and efficiency. more

  • TDWI Analytics Principles and Practices: Delivering Business Insight from Data

    Analytics is a hot topic, but also a complex one. This continuously growing field now includes descriptive, diagnostic, predictive, and prescriptive analytics. Applied analytics including optimization, simulation, and automation expand the scope. Data growth also fuels the complexity—unstructured data, big data, social data, data streams, and more. more

  • TDWI Predictive Analytics Principles and Practices

    Analytics is a hot topic, but also a complex one. This continuously growing field now includes descriptive, diagnostic, predictive, and prescriptive analytics. Applied analytics including optimization, simulation, and automation expand the scope. Data growth also fuels the complexity—unstructured data, big data, social data, data streams, and more. more

  • Hands-on Machine Learning with TensorFlow

    Machine and deep learning capabilities are in demand, and Python is the fastest-growing tool in machine and deep learning. TensorFlow is a Python library for fast numerical computing created and released by Google that is used in deep learning and primarily focuses on neural networks. more

  • Serious Play for Predictive Analytics: What Works, What Doesn't & Why

    This one-day session will prepare analytics practitioners and functional managers to make sense of predictive modeling and take control of the analytic process. more

  • TDWI Data Visualization Principles and Practices

    Data visualization has rapidly become a critical part of business analytics and business communications. Without visualization, the numbers and statistics of analytics are difficult to interpret and incomprehensible to many who need to turn data into knowledge. more

  • TDWI Developing Data Analytics Literacy Workshop

    Advances in data analytics are creating new opportunities to help organizations compete, innovate, and generate new value. However, the ability to transform these opportunities into tangible business results depends on business professionals who can understand, interpret, and apply digital content in a variety of forms. more

  • Putting Predictive Analytics to Work: A Practitioner’s View of Common Technical Issues and Solutions

    This course covers many technical issues that are often misapplied in predictive analytics projects. Each topic is explained in a way that is understandable and accessible, enriched with the real-world insights of a seasoned practitioner, and made tangible by illustrating the impact of various implementation solutions. more

  • Hands-on Applied Machine Learning in R

    R is the one of the most popular machine learning tools in use today. This course focuses on taking concepts in machine learning and applying them in practical ways. Common algorithms such as regression, clustering, and classification are explained, applied, and evaluated using R. more

  • Architecting a Big Data Infrastructure for Modern Analytics

    The session goes into details around end-to-end automation for big data. We will also discuss topics related with best practices around data disaster recovery as well as cybersecurity. more