RESEARCH & RESOURCES

Featured Webinars

  • Six Steps for Generating Business Value from Operational IoT Data

    Learn how to accelerate your organization’s ability to realize business value from operational IoT data, plus best practices for reducing data prep, eliminating data latency, and making operational IoT data actionable. We’ll offer tips for balancing data governance, security, and accessibility. February 26, 2019 Register

  • Cloud Data Warehouses: Are They Right for Your Organization?

    Is the cloud right for your organization? Learn about the state of on-premises versus cloud data warehousing and analytics, use cases for each, and the challenges and best practices for moving to the cloud. A demonstration of a cloud-based data warehouse and analytics solution will also be offered. February 28, 2019 Register

  • Modernizing Metadata

    Learn about innovations in metadata tools, including smart tool automation to improve developer productivity (thanks to smart algorithms and AI) and address data lineage as well as new data semantics to enhance business metadata and improve self-service data exploration and analytics. March 7, 2019 Register

Upcoming Webinars

  • Six Steps for Generating Business Value from Operational IoT Data

    Learn how to accelerate your organization’s ability to realize business value from operational IoT data, plus best practices for reducing data prep, eliminating data latency, and making operational IoT data actionable. We’ll offer tips for balancing data governance, security, and accessibility. February 26, 2019 Register

  • Cloud Data Warehouses: Are They Right for Your Organization?

    Is the cloud right for your organization? Learn about the state of on-premises versus cloud data warehousing and analytics, use cases for each, and the challenges and best practices for moving to the cloud. A demonstration of a cloud-based data warehouse and analytics solution will also be offered. February 28, 2019 Register

  • Modernizing Metadata

    Learn about innovations in metadata tools, including smart tool automation to improve developer productivity (thanks to smart algorithms and AI) and address data lineage as well as new data semantics to enhance business metadata and improve self-service data exploration and analytics. March 7, 2019 Register

  • How to Use Data Prep to Accelerate Cloud Data Lake Adoption

    Learn how you can address data prep challenges as you move to the cloud for data management and how you can turn raw, cloud-based source data into output suited for analytics and ML. Explore the tech trends shaping data prep for cloud data lakes and data warehouses. March 12, 2019 Register

  • Cloud Data Lakes: Enabling New Business Analytics at High Scale and Low Cost

    This webinar will discuss the business benefits of data lakes, the benefits of deploying a data lake in the cloud (and how use cases and technology requirements affect your platform choice), and why substantial data integration is necessary. March 20, 2019 Register

  • Modern Data Analytics in the Cloud: Achieving an End-to-End Strategy

    Learn how your organization can create an end-to-end strategy that aligns analytics in the cloud with data management. We’ll discuss key issues in supporting today’s analytics workloads, including cloud data warehousing, data preparation and transformation, and visual data interactivity. March 21, 2019 Register

  • Embedded Analytics: Unleashing Insights Everywhere

    Embedded analytics brings the results of analysis to more decision makers quickly, resulting in smarter decisions faster. No wonder it’s a top strategy for 2019. Learn what embedded analytics is, how it makes such a big impact, how it’s used in applications, and the move toward analytics automation. April 2, 2019 Register

TDWI Webinars on Big Data, Business Intelligence, Data Warehousing & Analytics

TDWI Webinars deliver unbiased information on pertinent issues in the big data, business intelligence, data warehousing, and analytics industry. Each live Webinar is roughly one hour in length and includes an interactive question-and-answer session following the presentation.


On Demand

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.

Philip Russom, Ph.D.


What’s Ahead in Analytics in 2019?

Experts discuss the hottest trends in analytics, including: predictive analytics/machine learning/AI, self-service analytics, robotic process automation, and intelligent and automated analytics.

Fern Halper, Ph.D.


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.

Fern Halper, Ph.D.


Best Practices for Real-Time Analytics for High Data Volumes

Learn about hybrid transactional/analytical processing, an alternative architecture that can simultaneously balance transactional and analytical processing. We’ll explain how you can reduce traditional (ETL), manage data storage according to usage, and perform in-memory data management.

David Loshin


Emerging Trends for the Data-Centric Organization

Learn about key data-centric trends, including the role of the citizen analyst and its emergence as the nontechnical data champion, the importance of educating and training for data awareness, the value of self-service, the changing role of IT, and why you need data governance.

David Loshin


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.

Fern Halper, Ph.D.


Automating Modern Data Lake Pipelines

Data management challenges can often make finding value in an on-premises or cloud data lake extremely difficult. Learn about the evolution of the modern data lake, how to make it efficiently ingest data in real time, and how data lake pipelines can be automated.

Fern Halper, Ph.D.


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