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RESEARCH & RESOURCES

Featured Webinars

  • The Data Warehouse Comeback: How the Cloud is Accelerating Insights

    In the webinar, The Data Warehouse Comeback: How the Cloud is Accelerating Insights, a guest speaker from Forrester, as well as speakers from TDWI and Attunity (a division of Qlik), will discuss the benefits of using cloud data warehouses to unlock analytical insights. October 22, 2019 Register

  • Best Practices for Cloud Data Pipelines

    Learn about the alternatives for developing and managing cloud data pipelines and what to expect of modern analytics environments. Explore real-time data ingestion and management, why custom-coded data pipelines are so complex (and ELT’s role), and what skills are needed to develop data pipelines. October 23, 2019 Register

  • Five Strategies for Modernizing Data Warehousing via the Cloud

    The cloud is rapidly moving to the forefront for modernizing data warehousing and related data management to support analytics, Learn how to create the right strategy for modernizing data warehousing and related data management by bringing them into the cloud. October 24, 2019 Register

Upcoming Webinars

  • Gain Control of Your Data Lake

    In this webinar we explore data governance concepts for the cloud-based data lake. You’ll also learn about data lake architecture alternatives, data sensitivity and the need for data protection, how to protect against unauthorized data exposure, and tips for encouraging governed data sharing. October 29, 2019 Register

  • The Operational Data Warehouse in Today’s Hybrid Cloud Environments

    Learn what a modern OpDW is and does, technologies and practices that can modernize it (including in-memory execution and distributed and cloud-based data management), and how and why the best OpDWs provide high performance for both operations and analytics workloads. October 30, 2019 Register

  • Migrating Analytics Systems from On Premises to the Cloud

    Are your on-premises data warehousing and analytics applications ready to move to the cloud? We’ll explore why different apps need different migration scenarios, alternatives for prioritizing eligible systems, migration challenges, and how to develop and implement successful migration plans. October 30, 2019 Register

  • Six Strategies for Simplifying Hybrid, Multicloud Data Integration: How to overcome pain points in providing governed views of diverse data

    Data integration in cloud and on-premises hybrid environments can be painful. Learn how you can overcome pain points in governed views of diverse data by using data virtualization to reduce data movement, provide comprehensive data views faster, and address governance challenges. October 31, 2019 Register

  • Cloud at Scale for Modern Data Warehousing - New Approaches for New Business Uses and Technical Requirements

    Data warehouse modernization and cloud adoption often go hand in hand; both seek to ensure extreme scalability, lower administrative and platform costs, and support new business analytics. This webinar will discuss both practices, with a focus on coordinating the two and present six key recommendations. November 6, 2019 Register

  • Data Management and Data Warehouse Requirements for Machine Learning and AI

    This webinar will define ML and related technologies and practices in AI and predictive analytics, discuss ML’s use cases, explain data management requirements users must address to successfully apply ML to their analytics, and explain the ML life cycle and the unique data requirements of each stage. November 20, 2019 Register

  • Best Practices for Cloud Data Pipelines

    Learn about the alternatives for developing and managing cloud data pipelines and what to expect of modern analytics environments. Explore real-time data ingestion and management, why custom-coded data pipelines are so complex (and ELT’s role), and what skills are needed to develop data pipelines. December 10, 2019 Register

  • Gain Control of Your Data Lake

    In this webinar we explore data governance concepts for the cloud-based data lake. You’ll also learn about data lake architecture alternatives, data sensitivity and the need for data protection, how to protect against unauthorized data exposure, and tips for encouraging governed data sharing. December 17, 2019 Register

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

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


Modernizing Data Architecture With Streaming CDC

In this webinar, we will discuss the market need for streaming CDC, how it differs from other techniques, and use cases and case studies.

David Loshin


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


Modernizing Data Analytics: Moving Beyond Hadoop

In this webinar, we will explore some of the past factors that motivated the move to Hadoop for data management and analysis and then consider the relevance of those factors as we move toward the future. We will then discuss alternatives for modernized data warehousing, followed by a discussion of how to dovetail the use of Hadoop in a modernized data warehouse environment.

David Loshin


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