RESEARCH & RESOURCES


Upcoming Webinars

International Broadcasts

TDWI On-Demand Webinars on Data Management, Analytics, & AI

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

Modern Data Warehouse Integration: Bringing Data Together in the Cloud

In this webinar, we contrast the traditional ELT approaches of the past with the agile approaches enabled by high-performance cloud-based systems.

David Loshin


Extending Your Data Warehouse Environment with Hadoop: Bringing Enterprise and External Data Together

View this webinar to learn about these and other ways Hadoop is being used in conjunction with data warehousing. All are meaningful because they help user organizations get greater business value from a widening range of data types, sources, structures, interfaces, and containers.

Philip Russom, Ph.D.


Making Predictive Analytics Work – 5 Keys to Successful Model Deployment and Management

This webinar focuses on five keys to successful model deployment, management, and the current state of predictive analytics/machine learning.

Fern Halper, Ph.D.


Ask the Expert on The UX Guide to Analytics
TDWI Members Only

In this Ask the Expert webinar, Nick will lead attendees through a journey of what processes and methodologies the world’s leading analytics consulting firms use to maximize adoption, reduce risk and achieve business value through behavioral change. Nick will then answer any questions you have on how to leverage all or parts of the process into your own analytics processes.

Nicholas Kelly


Enabling Data Science to Be Data Science: Strategies for Increasing Self-Service Data Science

View this TDWI Webinar to learn how you can create a data science strategy that benefits from less dependence on IT and affords greater self-service capabilities for both data scientists and business users. We will discuss how trends in technologies and practices are opening up opportunities to significantly reduce the data management drag on data science projects so that there can be greater focus on what adds the most value to the business.

David Stodder


What It Takes to Be Data-Driven: Technologies and Practices for Becoming a Smarter Organization

Join Fern Halper, TDWI VP and senior research director for advanced analytics, and David Stodder, senior research director for BI, to learn more about the research from their new Best Practices Report about what it takes to become data-driven. They will discuss their findings and present recommendations for organizational and technology best practices.

Fern Halper, Ph.D., David Stodder


Evolution of the Data Lake—Implementing Real-Time Change Data in Hadoop

A ten-fold increase in worldwide data by 2025 is one of many predictions about big data. With such growth rates in data, the “data lake” is a very popular concept today. Everybody touts their platform capabilities for the data lake, and it is all about Apache Hadoop. With its proven cost-effective, highly scalable, and reliable means of storing vast data sets on cost-effective commodity hardware regardless of format, it seems to be the ideal analytics repository. However, the power of discovery that comes with the lack of a schema also creates a barrier for integrating well-understood transaction data that is more comfortably stored in a relational database. Rapidly changing data can quickly turn a data lake into a data swamp.

Krish Krishnan


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