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Introduction to DataOps

DataOps is the application of DevOps practices to modern data management and integration. It reduces the cycle time of data analytics, in close alignment with business objectives. DataOps transforms the traditional approach of designing and building custom data movement software into self-service capabilities that people simply operate with faster delivery of existing and new data services and products in the face of changing environments, requirements, infrastructures and semantics while preventing data threats. When implemented correctly, DataOps transforms stodgy, centralized Business Intelligence “dashboards and reports” into real-time and democratized analytics capability that unlocks the huge potential of all your data.

Guide Includes:

1

White Paper

DataOps: DevOps for Data Integration

2

White Paper

DataOps The Authoritative First Edition

3

White Paper

Rearchitecting DataOps for the Cloud

4

Webinar

The Evolution of DataOps at GSK

5

Webinar

Practical Advice for Your DataOps Journey

6

Webinar

DataOps for Digital Transformation

7

Report

Eckerson - DataOps Industrializing Data and Analytics

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