Thanks for joining us at DataOps.dev! We are a community of data engineers, architects, analysts, and data scientists who have all been burned by slow development cycles, broken pipelines, and inaccurate results. But we’ve also seen data at its best. With backgrounds at some of the largest data companies - Google, Twitter, Square, Salesforce, Cloudera, Informatica, and others - we’ve experienced firsthand how powerful getting the right data into the right hands fast can be. Figuring out how to make this experience the norm at every company is what attracted us the DataOps movement, which promises speed, quality, and flexibility as we work with data together.

DataOps itself is still nascent. We created this space where we can all learn from each other and share what’s worked and what hasn’t as we all embark on this DataOps journey. We’ll be sharing our experiences, considerations for your teams, best practices and frameworks that we’ve seen be successful, as well as other tips and tricks. But this is a new and changing area, and we by no means claim to have all the answers. We want to hear from you on what you’re most interested in and what’s worked for your teams. We hope you find this helpful and we can’t wait to hear what you’ve done with your data!

Considerations for Pipeline Optimization within DataOps

This is the first of a series of exploratory blog posts on DataOps practices and frameworks, where we will discuss what DataOps could mean to different roles in an organization.