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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 I Learned At Gartner Data & Analytics 2022

Timo Elliott

First, data is by default, and by definition, a liability , because it costs money and has risks associated with it. To turn data into an asset , you actually have to do something with it and drive the business. And the best way to do that is to embed data, analytics, and decisions into business workflows.

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Gartner Market Guide to DataOps Software

DataKitchen

The two things we are most excited about are: First, DataOps is distinct from all Data Analytic tools. As founders, we sat in a room eight years ago (when all the rage was Hadoop, data prep, and data lakes) and debated — will there ever be an ‘ops’ layer that sits next to all the current data tools?

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Data governance in the age of generative AI

AWS Big Data

To provide a response that includes the enterprise context, each user prompt needs to be augmented with a combination of insights from structured data from the data warehouse and unstructured data from the enterprise data lake. To learn more about data governance on AWS, see What is Data Governance?

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How is the ‘Mesh’ Resolving Bottlenecks of Data Management

Smart Data Collective

More case studies are added every day and give a clear hint – data analytics are all set to change, again! . Data Management before the ‘Mesh’. In the early days, organizations used a central data warehouse to drive their data analytics. It’s a tough road but worth the effort. .

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DaVita’s technology strategy driven by the ‘power of purpose’

CIO Business Intelligence

Cullop also talks about DaVita’s strategies for AI and data analytics, as well as the importance of passion and culture as drivers of technology innovation. Tim Scannell: How much of a role do technologies like data analytics and AI play in DaVita’s overall technology and business strategy?

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Using Snowflake and Denodo to Reduce Data Modernization Downtime

CDW Research Hub

Mitigate risks with a seamless cloud migration. Reduce the total cost of ownership of the data infrastructure. Build the foundation for a logical data warehouse or logical data lake. Maintain one consistent business data model across all consumers and reporting tools.