TDWI Nashville

This six-day conference is designed for data professionals and leaders tasked with:

• Building effective data strategies, agile processes, and scalable architectures for data-driven decision-making
• Transforming business through machine learning and data science
• Delivering impactful dashboards, BI, and self-service information products Designing and managing the data assets that power BI and analytics
• Ensuring compliance, privacy, and data quality through data governance Elevating data literacy through data visualization and storytelling

Build new skills, network with peers and industry experts, and drive positive change in your business and your career. Mix and match from over 40 full- and half–day courses to create your unique learning experience, including 14 tracks and 3 bootcamps.

Panel Discussion: How Do You Build Data Management Teams to Support the Future’s Distributed Architecture?; Tuesday, May 16th from 9:45am - 10:30am

Moderator: James Kobielus, Senior Director of Research for Data Management

Panelists:

• Kunjavihari (Kunju) Kashalikar, Director, Product Management, Lumada DataOps, Hitachi Vantara
• Tom LaSalle, Director, Central Region, Denodo
• Richard Park, Chief Revenue Officer, RightData

Data management platforms are becoming increasingly distributed. Multicloud, edge, and other distributed cloud architectures are becoming more prominent in enterprise deployments, and data management architectures will need to keep pace to support evolving requirements.

To support distributed data architectures, enterprise will need to reassess and reorganize their data management teams to operate seamlessly across greater distances, diverse time zones, and more complex business environments that span diverse domains and jurisdictions.

In this sponsor panel, TDWI senior research director James Kobielus will lead data industry experts in a discussion of the challenges associated with building teams that can effectively manage data across distributed architectures. They will discuss such issues as:

• What are the principal challenges associated with managing enterprise data across distributed environments?
• How will data governance practices need to evolve to manage a single version of the truth in distributed architectures?
• What should enterprises do to keep a lid on the overhead costs associated with managing data across increasingly distributed architectures?
• What collaboration environments are best for augmenting the productivity of data management teams across distributed environments?
• What changes to an orgaanization’s data management teams and staffing models are necessary to operate effectively across distributed environments?