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Why FinOps Needs DataOps Observability

insideBIGDATA

In this special guest feature, Chris Santiago, Vice President/Solutions Engineering, Unravel Data, talks about controlling cloud spend through three phases of the FinOps lifecycle.

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Turnkey Cloud DataOps: Solution from Alation and Accenture

Alation

DataOps has emerged as an exciting solution. As the latest iteration in this pursuit of high-quality data sharing, DataOps combines a range of disciplines. As pressures to modernize mount, the promise of DataOps has attracted attention. People want to know how to implement DataOps successfully.

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What Is DataOps? Definition, Principles, and Benefits

Alation

What exactly is DataOps ? This is nothing new, as 74% of respondents indicated that new compliance and regulatory requirements have accelerated the adoption of DataOps (IDC). This is nothing new, as 74% of respondents indicated that new compliance and regulatory requirements have accelerated the adoption of DataOps (IDC).

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DataOps vs. DevOps: What’s the Difference?

Alation

DataOps and DevOps are two distinctly different pursuits. But where DevOps focuses on product development, DataOps aims to reduce the time from data need to data success. At its best, DataOps shortens the cycle time for analytics and aligns with business goals. What is DataOps? What is DevOps? The Agile Connection.

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Data Intelligence in DataOps: Navigating the Journey to Continuous Data Value

Alation

The Rise of Gen-D and DataOps. With the 3 D’s of data and data-native workers, connecting data producers to consumers in an optimal way requires a new approach, an approach called DataOps. DataOps is a combination of technologies and methods with a focus on quality, for consistent and continuous delivery of data value.

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Navigating the path to generative AI success across industries: A Grid Dynamics crawl-walk-run strategy

Dataconomy

” You can navigate through the hype and make confident investments in practical and valuable solutions for your business only when you’re ready. Migrate from on-premises systems to reduce costs, increase data quality and accessibility, and focus on building value through DataOps and MLOps processes.

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IBM Consulting unveils Center of Excellence for generative AI

IBM Journey to AI blog

In addition, the CoE will develop new solutions and assets with clients and partners, leveraging the pipeline of generative AI innovations from IBM Research. We will also use IBM’s proprietary AI “advisor” toolkit in IBM Consulting to improve our internal operations and client delivery.

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