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BIG DATA

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Research & Resources

Webinars

  • Modernizing Your Data Architecture to Unlock Business Value

    Join this TDWI Webinar to learn how you can develop a data strategy that does not leave important data behind in legacy applications and mainframe data systems and takes full advantage of cloud storage, data processing, and sophisticated analytics at scale. September 29, 2021 view now

  • 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

Team Training

  • 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

  • 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

  • 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

  • Data Privacy and Protection Fundamentals

    During this class, you will discuss the details of data privacy and protection and review the activities that go into supporting a data privacy and protection initiative in your analytics environment. more

Upcoming Event Courses

  • 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 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

  • 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

  • Hands-On: Advanced Analytics for Everyone with Excel–Logistic Regression Made Easy

    In this hands-on class you will learn the fundamentals of applying logistic regression to business data using Excel. more

  • TDWI Information Dashboard Design: Dashboard Development and Performance Management

    Information dashboards are an essential modern method for delivering information and intelligence. Dashboards range from local and individual dashboards developed using self-service BI tools to enterprise dashboards engineered, implemented, and supported by BI and IT organizations. more

  • Advanced Analytics: Leveraging Data Science and Machine Learning Techniques to Gain Data Insights

    Analytics encompasses many skills and disciplines. Identifying the problem, choosing the modeling approach, selecting the correct features to model, and evaluating the result are at the heart of analytics. The tendency, however, is to focus primarily on the technology rather than the process. 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

  • Data Storytelling for Business Impact

    The explosion of data has made data visualization a core competency for organizations as insights can no longer be derived from rows and columns. Analytical insights start and end with the story and storytelling skills are essential for understanding the message and gaining value from the data. 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