Remove Data Governance Remove Data Silos Remove Demo
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What Is a Data Silo?

Alation

Although organizations don’t set out to intentionally create data silos, they are likely to arise naturally over time. This can make collaboration across departments difficult, leading to inconsistent data quality , a lack of communication and visibility, and higher costs over time (among other issues). What Are Data Silos?

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Why The Public Sector Needs Data Governance

Alation

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

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Demystifying Data Mesh

Precisely

Even without a specific architecture in mind, you’re building toward a framework that enables the right person to access the right data at the right time. However, complex architectures and data silos make that difficult. It’s time to rethink how you manage data to democratize it and make it more accessible.

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Journey to AI blog

Modernizing data warehouse with IBM watsonx.data Modernizing a data warehouse with IBM watsonx.data on AWS offers businesses a transformative approach to managing data across various sources and formats. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

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Snowflake Summit 2022: 3 Key Takeaways from Alation

Alation

Our theme was, “ Alation Is the Treasure Map to You Data ,” but the real treasure was the people we met and the connections we made to move the industry forward. Our 3 main takeaways from the event were: Focus on data outcomes (and align them to your mission!). Embrace data governance. Focus on Data Outcomes.

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Alation + Soda: Dynamic Data Quality with the Data Catalog

Alation

With this integration, organizations can fully harness the power of their metadata to maintain pristine data pipelines and serve high quality data to a broader range of users. One major obstacle presented to data quality is data silos , as they obstruct transparency and make collaboration tough. Unified Teams.

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Modern Data Management Essentials: Exploring Data Fabric

Precisely

While data fabric is not a standalone solution, critical capabilities that you can address today to prepare for a data fabric include automated data integration, metadata management, centralized data governance, and self-service access by consumers. Then you need to know more about data fabric architecture.