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An AI Chat Bot Wrote This Blog Post …

DataKitchen

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. Overall, DataOps is an essential component of modern data-driven organizations. Query> DataOps. Query> Write an essay on DataOps.

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A Look Ahead at the Gartner Data & Analytics Summit

Cloudera

As we enter into a new month, the Cloudera team is getting ready to head off to the Gartner Data & Analytics Summit in Orlando, Florida for one of the most important events of the year for Chief Data Analytics Officers (CDAOs) and the field of data and analytics.

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GenAI in Data Analytics: Navigating the New Wave

Aryng

the landscape of data analytics has been reshaped. The Need for Change in […] The post GenAI in Data Analytics: Navigating the New Wave appeared first on Aryng's Blog. The Need for Change in […] The post GenAI in Data Analytics: Navigating the New Wave appeared first on Aryng's Blog.

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Announcing the AWS Well-Architected Data Analytics Lens

AWS Big Data

We are delighted to announce the release of the Data Analytics Lens. Using the Lens in the Tool’s Lens Catalog, you can directly assess your Analytics workload in the console, and produce a set of actionable results for customized improvement plans recommended by the Tool. What’s new in the Data Analytics Lens?

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What is Data Storytelling? The Value of Context and Narrative

This blog acts as a beginner’s guide to what data storytelling means for your company’s business intelligence and data analytics, explains the importance of leveraging it today, and illustrates how Yellowfin’s own set of storytelling tools can enrich your insight reporting efforts.

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Harnessing AI and data analytics can make clean energy more viable

IBM Big Data Hub

This is where harnessing artificial intelligence (AI) and data analytics can help. Companies that harness AI and data analytics can also make clean energy more viable overall by increasing their cost competitiveness over legacy energy sources. On average, 3.3

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.