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TDWI Chicago Update

At TDWI, we have been working hard to navigate this ever-changing landscape in the face of COVID-19, and we want to assure you that the health and well-being of our employees, customers, and vendor partners is our top priority. Therefore, due to the growing concern around the coronavirus (COVID-19), and in alignment with the guidelines laid out by the CDC and WHO, we have decided to merge this year’s TDWI Chicago Conference (May 10-15) with TDWI Orlando 2020 (November 8-13), where it can be a successful experience for everyone. The Chicago 2020 agenda will be replicated at TDWI Orlando 2020.

Our registration team will be in contact with individual registrants and sponsors directly.

Course Description

T6A Tackling Data Integration Challenges for Self-Service: Data Prep and Data Virtualization

May 12, 2020

8:00 am - 11:15 am

Duration: Half Day Course

Level: Intermediate to Advanced

Prerequisite: None

John O'Brien

President

Radiant Advisors

Data environments are becoming increasingly complex to navigate, and this has proven to be a significant obstacle in enterprise self-service adoption and data science projects.

The solution is to incorporate six fundamental components that make up a data unification environment: data discovery and cataloging, data governance with security, self-service data, collaboration, cloud optimization, and AI assistance. These are the necessary components for empowering end users to work with, collaborate on, and publish data. Data preparation and data virtualization are two well-accepted techniques used to deliver a unified environment that masks complexity and enables people to efficiently find and work with data.

This session will lay the foundation for data unification and then explore both data virtualization and data prep best practices.

You Will Learn

  • Six data unification components needed to effectively facilitate user self-sufficiency
  • How data unification optimizes the modern analytics lifecycle user experience
  • Understanding data virtualization and best practices to unify data
  • Understanding data prep and best practices for self-service data analytics

Geared To

  • Analytics leaders
  • CDO/CAO/CIO
  • Enterprise architects
  • Data architects
  • Database administrators
  • Data modelers
  • Integration architects
  • ETL/DW developers
  • Business analysts