DevOps is by now a familiar term that relates to developers and production teams working in a coordinated fashion to deliver software more quickly for business requirements.
Now, DataOps has emerged as an agile methodology to improve the speed and accuracy of analytics through new data management practices and processes, from data quality and integration through to model deployment and management.
However, DataOps is not yet well-understood, says Mark Marinelli, head of product at Tamr, who will lead the DataOps 101 workshop at Data Summit 2019, on Monday, May 20, from 9 am to 12 noon.
In addition to the DataOps workshop, Marinelli will also present a session, titled “Operationalizing Big Data Workloads,” as part of the DataOps Boot Camp on Wednesday, May 22, from 2 pm to 2:45 at Data Summit 2019.
While there is a wealth of useful technology that can improve how people work with data, the problem is that if teams are not embracing a different approach in their division of labor, responsibilities, and processes, they are not going to be successful, says Marinelli, who contends that it is not possible to solve today’s new problems with the old ways of doing things.
According to Marinelli, by leveraging automation, data democratization, and greater collaboration among data scientists, engineers, and other technologists, DataOps can help organizations improve the time-to-value of their data.
There are three key components to the new DataOps methodology for continuous integration and continuous delivery of data, he says. One is organizational and structural in terms of people’s roles, the second is processes, and the third is technology.
Attend the DataOps workshop to hear about the key supporting technologies, real-world strategies, and success stories and how to get started on DataOps journey at your organization.
DBTA’s Data Summit 2019 conference will be held at the Hyatt Regency Boston, May 21-22, with pre-conference workshops on Monday, May 20. Registration is now open.