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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

Putting Data Governance at the Heart: Shortening Healthcare’s Path to AI

This webinar will look at governance and data management practices that apply to all industries, but it will focus in particular on how they address hot issues in the healthcare industry.

David Stodder


The Three Pillars of Data Governance: Compliance, Trust, and Transformation

Motivating factors like compliance and trust inform practical transformation; at the same time, transformations enforce compliance and establish trust. In this webinar we discuss these different factors and how they inspire the creation of an extraordinary data governance program.

David Loshin


Speeding Analytics with Spark, Data Lakes and Change Data Capture

View this TDWI Webinar to learn how your organization can up its game when it comes to operational reporting and analytics.

David Stodder


Achieving Business Value Using Hybrid Analytics

Attend this webinar to learn how you can join this movement toward hybrid analytics and why this is the future of analytics.

Fern Halper, Ph.D.


Achieving High-Value Analytics with Data Virtualization

Watch this TDWI Webinar to learn how you can apply data virtualization to analytics projects and workloads. You will hear use case examples, best practices, and insights into technology trends.

David Stodder


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.


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