Remove Cloud Data Remove Data Governance Remove Data Pipeline
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Top 5 Fivetran Connectors for Healthcare

phData

Understanding Fivetran Fivetran is a popular Software-as-a-Service platform that enables users to automate the movement of data and ETL processes across diverse sources to a target destination. The phData team achieved a major milestone by successfully setting up a secure end-to-end data pipeline for a substantial healthcare enterprise.

SQL 52
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How Does Fivetran Drive Business Value?

phData

Designing New Data Pipelines Takes a Considerable Amount of Time and Knowledge Designing new ingestion pipelines is a complex undertaking that demands significant time and expertise. Engineering teams must maintain a complex web of ingestion pipelines capable of supporting many different sources, each with its own intricacies.

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The Data Integration Solution Checklist: Top 10 Considerations

Precisely

As enterprise technology landscapes grow more complex, the role of data integration is more critical than ever before. Wide support for enterprise-grade sources and targets Large organizations with complex IT landscapes must have the capability to easily connect to a wide variety of data sources.

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Fivetran Modern Data Stack Conference 2023: Key Takeaways

Alation

Last week, the Alation team had the privilege of joining IT professionals, business leaders, and data analysts and scientists for the Modern Data Stack Conference in San Francisco. Practitioners and hands-on data users were thrilled to be there, and many connected as they shared their progress on their own data stack journeys.

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Visionary Data Quality Paves the Way to Data Integrity

Precisely

Instead of moving customer data to the processing engine, we move the processing engine to the data. Manage data with a seamless, consistent design experience – no need for complex coding or highly technical skills. Simply design data pipelines, point them to the cloud environment, and execute.

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The Audience for Data Catalogs and Data Intelligence

Alation

The audience grew to include data scientists (who were even more scarce and expensive) and their supporting resources (e.g., After that came data governance , privacy, and compliance staff. Power business users and other non-purely-analytic data citizens came after that. Data engineers want to catalog data pipelines.

DataOps 52
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The Cloud Connection: How Governance Supports Security

Alation

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.