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TDWI Chicago, May 8-13, has been postponed.

We will now be delivering this conference program at TDWI San Diego, August 7–12, 2022. The conference site will be live soon! Sign up for email updates below. Register here.

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Course Description

W6P Data Ops: How to Deliver Analytics Better and Faster

May 11, 2022

2:15 pm - 5:30 pm

Duration: Half Day Course

Level: Intermediate to Advanced

Prerequisite: None

John O'Brien


Radiant Advisors

Companies that struggle to keep up with efficiently processing an increasing number of data sources for a growing number of data consumers are turning to DataOps as a way to turn things around. DataOps transforms these companies as a proven methodology that combines a data management philosophy with key agile processes focused on collaboration and automation to continuously deliver data and analytics for better decision making. Data integration and BI teams are evolving into agile data engineering and delivery teams capable of modernizing their legacy technical environments to position their companies for digital transformation.

DataOps brings together data managers and data consumers through agile data management processes that account for data engineering, integration, data quality, and governance on an open platform that streamlines efficient development, continuous delivery, and overall data unification. While this may sound daunting, this half-day course will help you understand the efficiencies DataOps can deliver for your organization and how to focus on the next steps of your journey. 

You Will Learn

  • Essential principles and benefits of DataOps
  • How to adopt DataOps to speed analytics development and delivery
  • Key agile processes that embed data quality and governance
  • How to continuously engineer, deploy, and operationalize data pipelines with automation and monitoring
  • Key components necessary in a modern data architecture

Geared To

  • Data architects
  • Data engineers
  • Data management leaders
  • Data governance professionals
  • Everyone interested in understanding DataOps quickly

The clock is ticking.

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