How Can You Implement DataOps In Your Existing Workflow?
Data is rapidly transforming and revolutionising the way you do business. A colossal amount of
information is now readily available to businesses that you can process, refine and use to your
Data can offer you invaluable and insightful information about everything from demographics to
user behaviour, future sales forecasting, and so much more. Data can be an indispensable
resource for making informed decisions moving forward with your business.
In fact, quality data has now become the backbone of the IT industry. From developing an
application from scratch to making minor updates to existing software, data is one of the most
crucial elements. Every step in the software delivery lifecycle from development to testing and
delivery relies on good quality data for creating a reliable and high-performing software feature.
However, none of these benefits matters if your data is hard to access when required or is of
That's where DataOps comes into play.
What Does DataOps Signify?
DataOps is a relatively new terminology in the IT industry that involves various data tools to
solve the issues of processing and analysing the raw data and transforming it into a usable
Due to resemblance in the term "DataOps" and "DevOps", both have been used
interchangeably to indicate the same approach or process. However, these two terms are
exclusive and have separate workflows.
While DevOps drives a streamlined and collaborative software development workflow, the
DataOps framework supports the DevOps methodology by maintaining an uninterrupted supply
of high-quality data wherever and whenever required.
Hire experienced professionals for your IT portfolio management and DataOps implementation
for seamless software delivery flow and efficient business processes.
When you Developers, testers, and the operational team is working with data, there are a few
things that should happen to make that data relevant and useful:
● Data must be organised for releva