DataOps Training Overview
This DataOps training course teaches attendees how Data Operations improve the speed and accuracy of data insights compared to traditional methods. Participants learn how to use Data Engineering, DevOps, Agile, and Lean Manufacturing principles to improve the digital logistics of data analytics and reduce repetitive task cycles and manual processes. This course helps your team navigate and optimize the ‘cradle-to-grave’ data lifecycle from acquisition, storing, and processing to retiring obsolete data.
Location and Pricing
Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.
In addition, some courses are available as live, instructor-led training from one of our partners.
Objectives
- Understand what DataOps is
- Shorten the "time-to-insight" cycle
- Use the DataOps Pipelines
- Leverage the toolchains, methods, and ideas of Data Engineering, DevOps, Agile, and Lean Manufacturing
- Implement DataOps
Prerequisites
All participants must have general programming and data processing knowledge.
Outline
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Intro to DataOps
- Problems in the Data & Analytics Industry
- Organizational Complexities
- 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
Conclusion
Training Materials
All DataOps training attendees receive comprehensive courseware.
Software Requirements
- Computer with Internet connectivity
- Ability to install software on the computer
- Recent 64-bit OS, such as Windows 10, macOS, or Linux
