TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

Five Steps for Accelerating Data Readiness to Improve Analytics and Governance

Join this TDWI Webinar to learn how you can update your technology strategy with modern solutions and methods to accelerate data readiness for better analytics and governance.

David Stodder

Sponsored by Boomi

Why Automated Data Lineage Is a Must-Have for BI and Analytics

Learn about uses cases for data lineage, especially those in BI daily operations and analytics and how data lineage assists data exploration and discovery, solution development, auditing, data governance, and migrations.

Philip Russom, Ph.D.

Sponsored by Octopai

What Do Modern Analysts Want?

Join this TDWI webinar to learn more about this emerging role and its importance to your organization. Utilizing results from a recent TDWI survey, Fern Halper, TDWI's VP of Research, and experts from ThoughtSpot will discuss this valuable role.

Sponsored by ThoughtSpot

Six Critical Factors for Machine Learning Success

Machine learning requires the capacity to collect, manage, and access large amounts of accurate and diverse data, the ability to create new features and train models, and must be able to deploy, monitor, and update models in production. Learn about six factors to make machine learning a success.

Sponsored by Snowflake

How to Use Cloud-Based Intelligent iPaaS to Modernize Integration

Learn about this modern and future-facing technology’s compelling capabilities and attributes, including how it leverages the power of the cloud, requires little or no hand-coded programming, and supports new best practices for integration, all from a single unified user interface.

Philip Russom, Ph.D.

Sponsored by SnapLogic

Accelerate Hybrid and Multipoint Integration into a Cloud Data Warehouse

Join this TDWI Webinar to learn how you can accelerate hybrid and multipoint integration into a cloud data warehouse.

David Stodder

Sponsored by SnapLogic

Maximizing Data Utility by Ensuring Trust in the Data

In this webinar, we consider a holistic approach that blends social and technological methods for assessing data utility and asserting a level of data trust.

David Loshin

Sponsored by Talend