RESEARCH & RESOURCES


Upcoming Webinars

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

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.


Using Data Exploration to Accelerate Traditional and Data Science Analytics Processes

Learn about visual data exploration's role in analytics cycles and streamlining processes, integrating it with data preparation, and how data exploration can speed time to insight.

David Stodder


Taking Advantage of the Cloud for Modernizing Your Data Warehouse

Learn what challenges data engineers face when migrating their on-premises data warehouse architecture to the cloud, review cloud architectural features, and examine how exploiting those features can help you renovate and modernize your data warehouse environment.

David Loshin


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