IBM Loves DataOps

IBM Recently published a great white paper on DataOps. We want to share it with you!

by | Feb 18, 2022 | Blog

DataOps is a discipline focused on the delivery of data faster, better, and cheaper to derive business value quickly. It closely follows the best practices of DevOps although the implementation of DataOps to data is nothing like DevOps to code. This paper will focus on providing a prescriptive approach in implementing a data pipeline using a DataOps discipline for data practitioners.

Data is unique in many respects, such as data quality, which is key in a data monetization strategy. Data governance is necessary in the enforcement of Data Privacy. Automation and orchestration in an interoperable hybrid cloud distributed data landscape is where DataOps excels. Whether an Artificial Intelligence, Machine Learning or Business Intelligence use case, all of them depend on governed, high-quality data delivered quickly. This “How and Why to DataOps” paper provides a prescriptive approach toward implementing a data pipeline using a DataOps discipline for data practitioners. It also serves as a point of reference for business executives that wish to understand the level of effort and scope for a DataOps based organization.

Download the IBM “How and Why To DataOps” paper.

For a more in-depth introduction to DataOps, refer to the DataOps flipbook.

Sign-Up for our Newsletter

Get the latest straight into your inbox

Monitor every Data Journey in an enterprise, from source to customer value, in development and production.

Simple, Fast Data Quality Test Generation and Execution. Your Data Journey starts with verifying that you can trust your data.

Orchestrate and automate your data toolchain to deliver insight with few errors and a high rate of change.

recipes for dataops success

DataOps Learning and Background Resources

DataOps Journey FAQ

DataOps Observability basics

Data Journey Manifesto

Why it matters!

DataOps FAQ

All the basics of DataOps

DataOps 101 Training

Get certified in DataOps

Maturity Model Assessment

Assess your DataOps Readiness

DataOps Manifesto

Thirty thousand signatures can't be wrong!


DataKitchen Basics

About DataKitchen

All the basics on DataKitchen

DataKitchen Team

Who we are; Why we are the DataOps experts


Come join us!


How to connect with DataKitchen


DataKitchen News


Hear the latest from DataKitchen


See DataKitchen live!


See how partners are using our Products


DataKitchen DataOps Consulting Services

Product Implementation

We help you succeed with DataKitchen's products.

Commercial Pharma Data Engineering

We build, operate, train, and transfer data products.

DataOps Transformation Advisory

We help you bring DataOps to your organization.

Customer Data Platform Engineering

We build an open CDP, then transfer it to you.