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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

“Digitizing was our first stake at the table in our data journey,” he says. That step, primarily undertaken by developers and data architects, established data governance and data integration. That step, primarily undertaken by developers and data architects, established data governance and data integration.

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Data Preparation and Data Mapping: The Glue Between Data Management and Data Governance to Accelerate Insights and Reduce Risks

erwin

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. Creating a High-Quality Data Pipeline.

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Turnkey Cloud DataOps: Solution from Alation and Accenture

Alation

This produces end-to-end lineage so business and technology users alike can understand the state of a data lake and/or lake house. They can better understand data transformations, checks, and normalization. They can better grasp the purpose and use for specific data (and improve the pipeline!).

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Tackling AI’s data challenges with IBM databases on AWS

IBM Big Data Hub

Whether it’s for ad hoc analytics, data transformation, data sharing, data lake modernization or ML and gen AI, you have the flexibility to choose. With watsonx.data, customers can optimize price performance by selecting the most suitable open query engine for their specific workload needs.

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Fabrics, Meshes & Stacks, oh my! Q&A with Sanjeev Mohan

Alation

Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. But there are only so many data engineers available in the market today; there’s a big skills shortage. Subscribe to Alation's Blog.

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Accelerate Your Data Mesh in the Cloud with Cloudera Data Engineering and Modak NabuTM

Cloudera

And most importantly, it democratizes access to end-users, such as Data Engineering teams, Data Science teams, and even citizen data scientists, across the organization while ensuring compliance with data governance policies are met. Customers using Modak Nabu with CDP today have deployed Data Lakes and.

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Self-Serve Data Prep CAN Be Easy AND Sophisticated!

Smarten

If your team has easy-to-use tools and features, you are much more likely to experience the user adoption you want and to improve data literacy and data democratization across the organization. Machine learning capability determines the best techniques, and the best fit transformations for data so that the outcome is clear and concise.