DevOps for Data Scientists: Data DevOps Concepts

DevOps
  • 12 Videos | 49m 30s
  • Includes Assessment
  • Earns a Badge
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To carry out DevOps for data science, you need to extend the ideas of DevOps to be compatible with the processes of data science and machine learning (ML). In this 12-video course, learners explore the concepts behind integrating data and DevOps. Begin by looking at applications of DevOps for data science and ML. Then examine topological considerations for data science and DevOps. This leads into applying the high-level organizational and cultural strategies for data science with DevOps, and taking a look at day-to-day tasks of DevOps for data science. Examine the technological risks and uncertainties when implementing DevOps for data science and scaling approaches to data science in terms of DevOps computing elements. Learn how DevOps can improve communication for data science workflows and how it can also help overcome ad hoc approaches to data science. The considerations for ETL (Extract, Transform, and Load) pipeline workload improvements through DevOps and the microservice approach to ML are also covered. The exercise involves creating a diagram of data science infrastructure.

WHAT YOU WILL LEARN

  • discover the subject areas covered in this course
    define the use and application of DevOps for data science and machine learning
    describe topological considerations for data science and DevOps
    apply high-level organizational and cultural strategies for data science with DevOps
    describe the specific day-to-day tasks of DevOps for data science
    assess technological risks and uncertainties when implementing DevOps for data science
  • describe scaling approaches to data science using DevOps
    identify how DevOps can improve communication for data science workflows
    identify how DevOps can help overcome ad hoc approaches to data science
    describe considerations for ETL pipeline workflow improvements through DevOps
    describe the microservice approach to machine learning
    create a diagram of your data science infrastructure

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 31s
    UP NEXT
  • Playable
    2. 
    Applying DevOps to Data
    4m 33s
  • Locked
    3. 
    Data DevOps Topologies
    4m 18s
  • Locked
    4. 
    Data DevOps Strategy
    3m 39s
  • Locked
    5. 
    Data DevOps Tactics
    4m 10s
  • Locked
    6. 
    Data DevOps Uncertainties
    4m 53s
  • Locked
    7. 
    Data DevOps Scaling
    5m 31s
  • Locked
    8. 
    Data DevOps Communication
    3m 6s
  • Locked
    9. 
    Overcoming Ad Hoc DevOps
    2m 50s
  • Locked
    10. 
    ETL Pipeline DevOps
    3m 48s
  • Locked
    11. 
    Data DevOps Microservices
    3m 22s
  • Locked
    12. 
    Exercise: Topological View of Data Science DevOps
    2m 50s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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Digital badges are yours to keep, forever.

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