RESEARCH & RESOURCES

Featured Webinars

  • Best Practices for Data Engineering in the Cloud

    Explore emerging best practices for data engineering in a modern hybrid cloud environment, including trends, opportunities, and challenges of managing data for analytics in the cloud, the role of a hybrid cloud architecture, and its data engineering challenges. July 17, 2019 Register

  • The Modern Data Warehouse

    In this webinar, we explore the benefits of the cloud as a platform for data warehouse modernization, such as automatic scaling improved workload performance. We’ll look at data warehouse migration issues and the importance of a cloud-first strategy that includes simplified management and security. July 18, 2019 Register

  • Six Strategies for Data-Driven Decision Making - How to create excellence through relevant, contextual insights

    Learn how your organization can deliver relevant data insights and enable data interaction for a wide range of decision makers. We’ll explore innovations in AI and alerting for proactively delivering the right answers to the right users, as well as how you can ensure users can trust in data answers while your enterprise adheres to data governance policies. July 24, 2019 Register

Upcoming Webinars

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

Facilitating Analytics in the Cloud

Explore two different aspects of analytics in the cloud: cloud migration challenges and best practices and how Tableau’s visual analytics platform can be integrated with cloud services to provide self-service access to a broad range of reporting and analytics functions.

David Loshin


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.


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 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


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.


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


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