DevOps Platforms and Operations: DataOps Principles

DevOps    |    Beginner
  • 14 videos | 1h 20m 51s
  • Includes Assessment
  • Earns a Badge
Rating 4.7 of 12 users Rating 4.7 of 12 users (12)
DataOps processes help to manage data analytics and processing. It combines DevOps teams with other data roles to supply processes, tools, and organizational structures to support enterprises. Through this course, learn DataOps guiding principles and how to implement them properly in an organization. Explore DataOps platforms and tools, key DataOps principles, and best practices and challenges in implementing DataOps. Next, learn about the role of DataOps in automating data governance and compare DataOps to DevOps. Finally, discover how to establish a DataOps team and practice, the individual DataOps team roles and responsibilities, and the components of a DataOps architecture. After course completion, you'll be able to outline what DataOps is and how to properly implement it.

WHAT YOU WILL LEARN

  • Course overview
    Identify dataops and its role in an organization
    Outline the steps in the dataops manifesto
    List the key principles of a dataops implementation
    Identify features for selecting a dataops platform
    Name popular dataops tools
    List the best practices for implementing a dataops practice
  • Outline steps for a successful implementation of a dataops practice
    State the challenges involved in dataops
    Compare devops and dataops to determine the best fit for your scenario
    Recognize the role of dataops in automating data governance
    Identify individual roles and their responsibilities within a dataops team
    Outline the components of the dataops architecture
    Course summary

IN THIS COURSE

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