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

Coffee Talk: Modern Data Paradigms and Architectures

At TDWI, we hear organizations are concerned about each domain becoming its own silo. The semantic layer can be the glue that binds architectures and teams together. It can enable a data mesh by becoming the access layer connecting databases and BI tools.

Sponsored by AtScale

Know and Protect Your Data, And Connect Your Eco System

Join TDWI’s senior research director James Kobielus on this webinar to explore how organizations are using robust governance practices to keep their data assets fit for consumption in reporting, business analytics, machine learning, and other key business applications.

James Kobielus

Sponsored by Snowflake

Expert Panel: Using a Data Mesh to Deliver Cross-Domain Enterprise Insights

In this panel, TDWI senior research director James Kobielus will lead data industry experts from Informatica and Wipro through an in-depth discussion of the enterprise shift away from monolithic data toward multidomain mesh architectures.

James Kobielus

Sponsored by Informatica Corporation, WIPRO

How to Achieve a Single View of Critical Business Data with MDM

Join this webinar to discover how multi-domain MDM can eliminate the guesswork and uncertainty that results from data gaps and inconsistencies, paving the way for new, powerful insights through cross-domain intelligence.

David Loshin

Sponsored by Precisely

Expert Panel: Modern Data Pipelines

Join this TDWI webinar to learn about six popular use cases that are enabled by a logical data fabric.

Fern Halper, Ph.D.

Sponsored by Unravel Data

Expert Panel: Best Practices for Building a Cloud Strategy and Migrating to the Cloud

In this panel, TDWI senior research director James Kobielus will lead data industry experts in a discussion of best practices for migrating data analytics to the cloud and for managing those assets on an ongoing basis.

James Kobielus

Sponsored by Collibra, DataStax, SAP

Constructing Modern Data Engineering Pipelines

Data engineers also need to work with different types of data as well as streaming data pipelines to handle events at scale in real time. No wonder data engineering is no trivial task.

Sponsored by Snowflake