James Maguire9
Q1: DataOps is still a new-ish term — how do you briefly define it?
Radhika Krishnan
A1. 1) In DataOps, the idea is to deliver, in the words of 451 Research - “more agile and automated approaches to data management.” See the report: https://htchivantara.is/3DtKLXc
451 Research: DataOps Unlocks the Value of Data
A recent survey from 451 Research revealed that 100% of respondents are currently planning or actively pursuing initiatives to deliver more agile and automated data management to manage vast new data flows. The method for unlocking value from the vas...
A recent survey from 451 Research revealed that 100% of respondents are currently planning or actively pursuing initiatives to deliver more agile and automated data management to manage vast new data flows. The method for unlocking value from the vas...
Radhika Krishnan
A1. 2) Hitachi defines DataOps as collaborative and automation with an outcome focused data culture and processes to address data friction across your fabric. https://htchivantara.is/3iXqUrB
What is DataOps? | Data Operations Explained
DataOps is a foundational aspect of business workflows, data assets, and processes. Learn about the mission, methodologies, and platform solutions of DataOps here.
DataOps is a foundational aspect of business workflows, data assets, and processes. Learn about the mission, methodologies, and platform solutions of DataOps here.
Chris Ehrlich
A1: DataOps is a DevOps-like approach to data by organizations. An internal discipline focused on the operational flow and maximization of data to drive business outcomes. #DataOps #DataManagement
Cognite
A1: To keep it really simple, DataOps is about turning the focus to data consumers rather than traditional data managers/engineers, and empowering data consumers to operationalise data they need for their solution development. It's a paradigm shift on user focus. @JamesMaguire
Bruce Kornfeld
A1 DataOps is a software-define way for organizations to move and get data for maximum business value by using automation.
Cognite
A1: And as the focus is on the data consumer perspective, there will be different versions - or flavours - of DataOps solutions based on the market/users. At Cognite, our focus is on Industrial DataOps for digital transformation heroes @JamesMaguire
Bas Kamphuis
A1: DataOps to me defines the space that aims to higher quality data and faster cycle times of getting data extracted from systems and feeding it into whatever analytics platforms.
Bas Kamphuis
@JamesMaguA1: DataOps started as a set of best practices and it's now evolving into, "maturing" one could say, into an automated process-oriented methodology to get data from its various sources into your analytics platforms.ire
James Maguire
@BasDutch1 "faster cycle times" = important