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New in Tableau Catalog: Improved search and monitoring for data quality warnings

Tableau

Product Manager, Tableau Prep. Data discovery and trust have been core principles of Tableau Catalog (part of Tableau Data Management ) since its introduction with Tableau 2019.3. With every release, we continue to add features that help users find and use trusted data with confidence. Kate Grinevskaja.

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New in Tableau Catalog: Improved search and monitoring for data quality warnings

Tableau

Product Manager, Tableau Catalog. Data discovery and trust have been core principles of Tableau Catalog (part of Tableau Data Management ) since its introduction with Tableau 2019.3. With every release, we continue to add features that help users find and use trusted data with confidence. Kate Grinevskaja.

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Why Your Business Should Use a Data Catalog to Organize Its Data

Smart Data Collective

It helps you locate and discover data that fit your search criteria. With data catalogs, you won’t have to waste time looking for information you think you have. What Does a Data Catalog Do? A data catalog will usually have a search tool, a separate data discovery tool, a glossary, and a metadata registry.

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Find Trusted Data at the Right Time with Tableau Catalog

Tableau

Srikant Subramaniam Director, Product Management, Tableau Bronwen Boyd March 21, 2023 - 8:28pm March 21, 2023 The increase in data volume and formats over the years has led to complex environments where it can be difficult to track and access the right data.

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Find Trusted Data at the Right Time with Tableau Catalog

Tableau

Srikant Subramaniam Director, Product Management, Tableau Bronwen Boyd March 21, 2023 - 8:28pm March 21, 2023 The increase in data volume and formats over the years has led to complex environments where it can be difficult to track and access the right data.

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Top 20 Data Warehouse Best Practices in 2024

Astera

In other words, a data warehouse is organized around specific topics or domains, such as customers, products, or sales; it integrates data from different sources and formats, and tracks changes in data over time. This not only aids user comprehension of data but also facilitates seamless data discovery, access, and analysis.

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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. Continuous Data Quality Monitoring According to Gartner , poor data quality cost enterprises an average of $15 million per year.