Transforming Data With Intelligence

The St. Louis Chapter of TDWI meets Quarterly to provide opportunities for the St. Louis region to collaborate with thought leaders and data professionals on the most innovative and transformational topics that are challenging local professionals.

Join us IN-PERSON on June 3, 2022 to hear speakers Dr. Jim Baker and Jeroen Tetteroo discuss Governance Modernization in the days of Data Fabric and Data Mesh, and Demystifying the Journey to Enabling Analytics in the Cloud.


June 3, 2022
8:00 AM- 12:00 PM


1 City Place Lower Level Auditorium
1 City Place Dr.
Creve Coeur, MO 63141



  hours  minutes  seconds


TDWI In-Person Event



Networking and Registration


Introductions and Chapter Business

8:35AM- 10:00AM

Topic 1
Presenter: Dr. Jim Baker



10:20AM- 11:45AM

Topic 2
Jeroen Tetteroo

11:45AM- 12:00PM

Wrap up and Give-aways

Presentation Topics

Topic 1 (8:35 AM- 10:00 AM): Data Governance Modernization in the day of Data Fabric and Data Mesh

Presenter: Dr. Jim Baker

Today there is much discussion around data governance modernization, data fabric and data mesh.  Quite honestly, there is little discussion to integrate the needs of data governance in these concepts, but there should be.  In this session we are going to discuss how data governance is changing in relation to using catalogs, lineage, data quality, and a more robust framework of human-involved continuous improvement.  We will expand those ideas and share how they can be used in concert with strategic initiatives around data fabric and data mesh.    

Topic 2 (10:20 AM- 11:45 AM): Demystifying the Journey to Enabling Analytics in the Cloud

Presenter: Jeroen Tetteroo

Like many IT functions, data analytics is moving to the cloud. But is your organization ready? Going to the cloud is a necessary step that allows you to scale data, users, use cases, and capabilities around machine learning and data science. But it doesn’t come without its challenges. Deployment delays, maintenance and upgrade issues, adoption resistance, and more can end up hurting your businesses’ ability to keep up pace against competition. Hear from leading enterprise organizations on how they’re demystifying the journey of taking their data analytics to the cloud and competing successfully in today’s digital economy.

Learn more about our presenters here!

Watch the video from our latest virtual event! On April 1, 2022, speaker and author, Scott Taylor- The Data Whisperer, gave incredible insights on how data leaders must tell their data story with the 3 Vs: Vocabulary, Voice, and Vision.

Click the button below to see more!

Our Sponsors

Featuring our newest sponsor: Databricks

Amitech Logo

We work with customers to create change for extraordinary results.

In today’s changing healthcare landscape, getting ahead and staying ahead leaves little time for a learning curve. So, it’s not enough just to choose a team that knows their way around data, analytics and automation. You need a business-focused partner with healthcare expertise.

Daugherty Business Solutions Logo

At Daugherty Business Solutions, we believe in providing exceptional value to our clients, an incredible work environment for our employees, and unwavering support to the communities in which we live. Those guiding principles and the great people making up Team Daugherty are the reason we’re still going strong after 35 years.

Whether you’re a business or technology professional, get the performance, flexibility, and near-infinite scalability to easily load, integrate, analyze, and securely share your data. Snowflake is a fully-managed service that’s simple to use but can power a near-unlimited number of concurrent workloads. Snowflake is our customers’ solution for data warehousing, data lakes, data engineering, data science, data application development, and for securely sharing and consuming shared data.

Combining all your data in a traditional data warehouse is an anti-pattern, which requires a lot of ETLs on a rigid platform that mainly supports structured data geared toward mission-critical reporting and BI use cases. To leverage ML and AI effectively and be a better, more data-driven organization, you need a unified repository that supports large and diverse data sets, including semi-structured and unstructured, in an open format with enterprise-grade reliability and performance. Welcome to lakehouse, a new architecture that combines the best elements of data lakes and data warehouses. This packaged offering from Databricks will accelerate implementing one simplified platform for data analytics, data science and ML — setting the foundation for your lakehouse vision.

Find more information on the national TDWI organization here.

Live Event Webex Link 4/1 9:00am start