Remove Data Discovery Remove Data Modelling Remove Healthcare
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Future of Power BI | Is it worth learning?

The BAWorld

Here’s a brief comparison: Tableau: For data visualization specialists, Tableau is more preferred. QlikView: Provides powerful data discovery and analytics capabilities but is not as user-friendly as Power BI Looker: Mainly data exploration and, for companies already invested in Google’s ecosystem, makes even more sense.

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Build Analytics, Build the Future

Sisense

Traditionally, these are the people who spend their days sourcing and managing the data pipeline, governance and security, customization, deployment, integration, automation, data discovery, calculations, reporting, and visualizations. These could be data engineers, developers, or analysts.

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The Future of AI in Data Warehousing: Trends and Predictions 

Astera

By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

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What is a Data Catalog? Features, Best Practices, and Benefits

Astera

While a data catalog serves as a centralized inventory of metadata, a data dictionary focuses on defining data elements and attributes, describing their meaning, format, and usage. The former offers a comprehensive view of an organization’s data assets. Are the benefits just limited to data analysts?

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Data Governance Framework: What is it? Importance, Pillars and Best Practices

Astera

Builds a Unified Data Language A common business language and data quality rules help everyone in the organization understand data terms and standards similarly. This approach avoids confusion and errors in data management and use, making communication across the company more straightforward.

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Data Vault vs. Data Mesh: Choosing the Right Data Architecture?

Astera

It ensures that data from different departments, like patient records, lab results, and billing, can be securely collected and accessed when needed. Selecting the right data architecture depends on the specific needs of a business. Discoverability Centralized metadata management simplifies data discoverability.

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What Is Embedded Analytics?

Insight Software

By Industry Businesses from many industries use embedded analytics to make sense of their data. In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future.