What is DataOps? You’ve heard the term, but what is DataOps, exactly? Is it marketing-speak for old processes, or something new and important? In this post, we answer the question what is DataOps and provide supporting data to help you understand how it can benefit your company.
Data Operations (or DataOps) controls the flow of data from source to value, speeding up the process of deriving value from data. What began as best practices when handling data, DataOps is now emerging to become its own field. The term is typically attributed to Andy Palmer, the founder and CEO of Tamr.
So, What Is DataOps?
Let us try a definition: DataOps is an organization-wide data management practice that controls the flow of data from source to value, with the goal of speeding up the process of deriving value from data. The outcome is scalable, repeatable, and predictable data flows for data engineers, data scientists, and business users. DataOps is as much about people as it is about tools and processes.
DataOps platforms take care of the grunt work typically placed on data engineers. The goal is to turn data work into an infinitely scalable and repeatable process. This includes integrating with data sources, performing transformations, converting data formats, and writing or delivering data to its required destination. DataOps ensures all aspects of these tasks are carried out efficiently to deliver data to where it can add value. DataOps also encompasses the monitoring and governance of data flows while ensuring security and scale.
Current State of DataOps
DataOps is no longer a tech trend, but a business trend.
As a rapidly growing field, 70% of companies surveyed in 2017 stated plans to hire in the DataOps function within the next year, regardless of company size or industry. Positions range from data analyst, to data operations specialist, to dataops engineer, to a data operations manager. With time, the need for dataops work only continues to grow. DataOps is no longer a tech trend, but a business trend. That’s why more and more data professionals are asking, what is DataOps?
In addition to planned Inter-company data collaboration is becoming the norm with 91% of companies stating they currently use or have plans to use third-party data. Yet with this new norm, many companies across the board continue to face challenges in driving insights from their data. 88% of professionals cite data access as their biggest challenges, while 46% cite data science/analytics skill sets to be a challenge.
For DataOps as a field overall, any data professional or executive faces the overarching problem of lack of support coupled with streamlining challenges. Like any growing field, there is still a lot to discover and understand before it can work like a well-oiled machine. Data Operations will quickly become the backbone to much of any company’s data work, and it’s time to change the way we approach DataOps.
The Future of DataOps
Let us handle your data operations, so you can scale your business.
The DataOps revolution is here. We now know that company-to-company data transfer is only going to grow. Companies would be wise to put the processes and tools in place now to prevent data heartache down the road. It’s not an easy feat, but Nexla is here to help.
Nexla automates your DataOps without utilizing your engineering resources so you can quickly derive value from your data. We scale your data operations infrastructure, so you can scale your business. As the easiest way to integrate, transform, and monitor data, Nexla is mission control for inter-company data operations.
We know we can help, sign up for a demo today.