WA3219
Fundamentals of DataOps Training
This course introduces you to the concept of DataOps—its origins, components, real-life applications, and ways to implement it.
Request On-Site or Customized Course Info
Request On-Site or Customized Course Info
Request On-Site or Customized Course Info
Request On-Site or Customized Course Info
Course Details
Duration
1 day
Prerequisites
General knowledge of programming and data processing.Target Audience
- Data and Business Analysts
- Information Architects
- Technical Managers
Skills Gained
- Grasp the fundamentals of data storytelling and its role in data analytics
- Apply data storytelling best practices to craft impactful narratives
- Select and create compelling visualizations that effectively convey insights
- Communicate complex data insights clearly and persuasively
- Transform raw data into actionable insights that inform decision-making
- Deliver data insights using various methods, including dashboards, scorecards/metrics, and apps
Course Outline
- Intro to DataOps
- Problems in the Data & Analytics Industry
- Root Cause: Organizational Complexities
- Solution: What Is DataOps?
- DataOps Production Pipeline
- The Three DataOps Pipelines
- Meta-Orchestrate Tools, Teams & Processes
- Automate Tests for Error Detection
- Types of Tests
- Measure Production Processes, Reflect & Improve
- DataOps Development Pipeline
- Development Lifecycle Complexities
- Data & Analytics Development
- How to Achieve Fast Deployments
- DataOps Deployments: Beyond DevOps
- DataOps Environment Pipeline
- DataOps Environment Challenges
- Environment Management: Components & Use Cases
- Principles of DataOps Environments
- DataOps Implementation
- Lean DataOps Implementation
- Four Phases of Lean DataOps
- Getting started with DataOps
Upcoming Course Dates