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Is DataOps more than DevOps for data?

Dataconomy

DataOps and DevOps are collaborative approaches between developers and IT operations teams. This communication and collaboration approach was then applied to data processing. The trend started with DevOps first.

DataOps 239
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Five Important Trends in Big Data Analytics

Flipboard

Over the last few years, with the rapid growth of data, pipeline, AI/ML, and analytics, DataOps has become a noteworthy piece of day-to-day business New-age technologies are almost entirely running the world today. Among these technologies, big data has gained significant traction. This concept is …

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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.

DataOps 243
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AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs

IBM Journey to AI blog

Driven by significant advancements in computing technology, everything from mobile phones to smart appliances to mass transit systems generate and digest data, creating a big data landscape that forward-thinking enterprises can leverage to drive innovation. However, the big data landscape is just that.

Big Data 106
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Improving Data Pipelines with DataOps

Dataversity

It was only a few years ago that BI and data experts excitedly claimed that petabytes of unstructured data could be brought under control with data pipelines and orderly, efficient data warehouses. But as big data continued to grow and the amount of stored information increased every […].

DataOps 59
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What Is a Data Fabric and How Does a Data Catalog Support It?

Alation

Automated Data Orchestration (AKA DataOps). Automated data orchestration interweaves data with connecting processes. DataOps is the leading process concept in data today. See Gartner’s “ How DataOps Amplifies Data and Analytics Business Value ”). Alation Data Catalog for the data fabric.

DataOps 52
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9 data governance strategies that will unlock the potential of your business data

IBM Journey to AI blog

Value realization Good data governance aims to maximize the value of data as a strategic asset, enhancing decision-making, big data analytics , machine learning and artificial intelligence projects. DevOps and DataOps are practices that emphasize developing a collaborative culture.