Featured Webinars

Upcoming Webinars

  • Planning for a Scalable Enterprise Data Lake

    In this webinar we will discuss a more modern view of the data lake and consider best practices for planning and implementing a scalable enterprise data lake. March 26, 2019 Register

  • Building a Modern Operational Data Warehouse: Seven Tips for Success with Hybrid Data

    How do you get full business value from hybrid data with a modern operational data warehouse (ODW)? Learn how an ODW unifies hybrid data from multiple sources to provide analytics insights rapidly and how an ODW incorporates tech innovations such as columnar data and cloud services. March 27, 2019 Register

  • Modern Data Analytics in the Cloud: Achieving an End-to-End Strategy

    Learn how your organization can create an end-to-end strategy that aligns analytics in the cloud with data management. We’ll discuss key issues in supporting today’s analytics workloads, including cloud data warehousing, data preparation and transformation, and visual data interactivity. March 28, 2019 Register

  • Embedded Analytics: Unleashing Insights Everywhere

    Embedded analytics brings the results of analysis to more decision makers quickly, resulting in smarter decisions faster. No wonder it’s a top strategy for 2019. Learn what embedded analytics is, how it makes such a big impact, how it’s used in applications, and the move toward analytics automation. April 2, 2019 Register

  • How to Modernize Data Lake Technologies with Cloud-Based Solutions

    What are data lakes and what can they do for your organization? We’ll look at real-world use cases in data warehousing, analytics, self-service data practices, and operations, the benefits of hosting them on cloud platforms, and where data lakes are heading. April 18, 2019 Register

  • Cloud Data Warehouse Modernization

    Is it time to reassess your current business processes and future demands to liberate your legacy data warehouse? Learn key modernization steps as you explore data discovery, data catalogs, self-service data access, and other key cloud DW features that let you deliver trusted, quality data. April 24, 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

Cloud Data Lakes: Enabling New Business Analytics at High Scale and Low Cost

This webinar will discuss the business benefits of data lakes, the benefits of deploying a data lake in the cloud (and how use cases and technology requirements affect your platform choice), and why substantial data integration is necessary.

Philip Russom, Ph.D.

Smart Data Discovery and Transparency for Complying with CCPA, GDPR, and other Privacy Regulations

Learn about the challenges of data privacy and protection regulations such as CCPA and GDPR and the steps necessary to comply. We will examine technologies and best practices to improve compliance and govern the range of sensitive data for trusted BI and analytics processes.

David Stodder

How to Use Data Prep to Accelerate Cloud Data Lake Adoption

Learn how you can address data prep challenges as you move to the cloud for data management and how you can turn raw, cloud-based source data into output suited for analytics and ML. Explore the tech trends shaping data prep for cloud data lakes and data warehouses.

David Stodder

Modernizing Metadata

Learn about innovations in metadata tools, including smart tool automation to improve developer productivity (thanks to smart algorithms and AI) and address data lineage as well as new data semantics to enhance business metadata and improve self-service data exploration and analytics.

Philip Russom, Ph.D.

Cloud Data Warehouses: Are They Right for Your Organization?

Is the cloud right for your organization? Learn about the state of on-premises versus cloud data warehousing and analytics, use cases for each, and the challenges and best practices for moving to the cloud. A demonstration of a cloud-based data warehouse and analytics solution will also be offered.

Fern Halper, Ph.D.

Six Steps for Generating Business Value from Operational IoT Data

Learn how to accelerate your organization’s ability to realize business value from operational IoT data, plus best practices for reducing data prep, eliminating data latency, and making operational IoT data actionable. We’ll offer tips for balancing data governance, security, and accessibility.

David Stodder

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