DataOps - Wikipedia
DataOps applies to the entire data lifecycle [3] from data preparation to reporting, and recognizes the interconnected nature of the data analytics team and information technology operations.
What Is Dataops? | IBM
Dec 10, 2024 · DataOps is built on a clear set of principles that define how modern data operations function. These principles guide how data teams work, how data workflows scale and how …
What Is DataOps and How Does It Work? - TechTarget
Dec 29, 2022 · DataOps is an Agile approach to designing, implementing and maintaining a distributed data architecture that will support a wide range of open source tools and frameworks in production. …
What Is DataOps? Definition, Role, and Responsibilities
Jul 3, 2024 · DataOps, or data operations, is a modern practice in data management at the crossroads of DevOps and data science. This practice, critical to digital transformation and the growth of data …
What Is DataOps? - DataKitchen
The data pipeline is the “operations” side of data analytics. It is helpful to conceptualize the data pipeline as a manufacturing line with an active focus on quality, efficiency, constraints and uptime.
What is Data Operations? DataOps Explained in Depth
Feb 18, 2025 · In order to overcome this challenge and manage data more effectively, a growing number of companies are implementing data operations—or DataOps—frameworks. Keep reading to …
DataOps & Data Operations Explained - Splunk
Sep 26, 2023 · Short for data operations, DataOps is a collaborative data management practice focused on improving the communication, integration, and automation of data flows between data managers …