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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

How much data processing that occurs will depend on the data’s state when ingested and how different the format is from the desired end state. Most data processing tasks are completed using ETL (Extract, Transform, Load) or ELT (Extract, Load Transform) processes.

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Using Snowflake Data as an Insurance Company

phData

Insurance companies often face challenges with data silos and inconsistencies among their legacy systems. To address these issues, they need a centralized and integrated data platform that serves as a single source of truth, preferably with strong data governance capabilities.

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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

How much data processing that occurs will depend on the data’s state when ingested and how different the format is from the desired end state. Most data processing tasks are completed using ETL (Extract, Transform, Load) or ELT (Extract, Load Transform) processes.

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How to Migrate from dbt Core to dbt Cloud: phData’s Simplified Approach

phData

These projects should include all functional areas within the data platform including analytics engineering, machine learning , and data science. Data governance and data classification are potential reasons to separate projects in dbt Cloud.

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Alation 2022.1: Customize Your Data Catalog

Alation

Through Impact Analysis, users can determine if a problem occurred with data upstream, and locate the impacted data downstream. With robust data lineage, data engineers can find and fix issues fast and prevent them from recurring. Similarly, analysts gain a clear view of how data is created. In 2022.1,