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RESEARCH & RESOURCES


Featured Webinars

  • From Migration to Modernization: Boosting Your Data Infrastructure for Success

    Join this TDWI webinar, with Fern Halper, TDWI’s VP of research; Arnab Sen, VP of data engineering at Tredence; and Sami Akbay, group product manager – data and analytics at Google, to learn how to transition from legacy systems to modern, cloud-based infrastructures, democratize data across the organization, boost operational efficiency, and enable advanced technologies for sustained growth. October 22, 2024

  • Driving Data Quality at Scale with High-Performance Observability

    In this webinar, TDWI senior research director James Kobielus will discuss the value of observability, lineage analysis, and other tools for driving data quality at scale in the cloud. October 24, 2024

  • Building Sophisticated AI Business Applications in the Cloud

    In this webinar, TDWI senior research director Fern Halper will provide an overview of best practices for building sophisticated, high-performance, and low-latency AI business applications in the cloud. October 29, 2024

Upcoming Webinars

International Broadcasts

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

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


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


Empowering the Citizen Analyst: Agile Techniques for Enhancing Self-Service Analytics and Data Science

In this webinar we will explore how combining modern approaches to utility computing, data access services, and automated data warehouse generation can simplify the production of reporting/analytics platforms that are specially designed to meet the consumers’ needs without forcing the request to go through the IT bottleneck.

David Loshin


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