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

Cloud or On Premises for Analytics: Why Not Choose Hybrid?

View this TDWI Webinar and learn why a hybrid architecture could be the best choice for agile and scalable analytics. This webinar will discuss key issues to consider in making the choice as well as TDWI research about what peer organizations are doing.

David Stodder

How to Design a Data Lake with Business Impact in Mind

In this webinar you will learn what organizations need from a data lake and how to accommodate data labs, sandboxes, self-service, and other data exploration approaches. You'll also learn how business requirements deeply affect data lake design patterns and system architectures, plus how most data lakes integrate tightly with data warehouses, analytics repositories, marketing campaign and channel data, and other enterprise data environments.

Philip Russom, Ph.D.

Modern Data Architectures to Support Modern Analytics

View this webinar to hear from a lively panel of experts, including a representative from Dell, about the journey to both self-service and advanced analytics utilizing a modern architecture.

Fern Halper, Ph.D.

Dell EMC, SAP and Intel

Practical Predictive Analytics – Results of New TDWI Best Practices Research

Join TDWI Research VP Fern Halper as she discusses the results of her most recent Best Practices Report on practical predictive analytics.

Fern Halper, Ph.D.

AI for BI: Tapping Into the Potential of AI and Machine Learning for Business Intelligence

View this TDWI Webinar to learn how AI-powered BI can enable especially non-technical users to accomplish projects faster with greater relevance and accuracy. This Webinar will discuss TDWI research into common BI challenges and how AI methods and technologies such as machine learning are enabling organizations to improve decision-making.

David Stodder

Strategies for Solving Business Problems Faster with Visualytics

This webinar will discuss the visualytics fusion, what it means for business users and analysts, and provide examples of how to apply visualytics to solve business problems.

David Stodder

Data Architecture for IoT Communications and Analytics

This webinar explores some fundamental aspects of IoT data architecture that will continuously adapt to the dynamic nature of massive numbers of connected sensors and other end-point devices. We will examine IoT communication, data streaming, ingestion and analysis, and deployment of developed analytical models for automated and predictive decision making.

David Loshin

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