Data Engineering

  • Data Engineering Patterns of Data Vault 2.0

    Data Engineering Patterns of Data Vault 2.0

    “Science can amuse and fascinate us all, but it is engineering that changes the world.” —Isaac Asimov You’re already aware about the Data Vault 2.0 System of Analytics having 3 core pillars which are the Model, the Methodology and the Architecture. Methodology also includes the sub-pillar of implementation. And, it has data engineering baked in.

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  • Episode 11: Data Vault and Data Science Synergies

    Episode 11: Data Vault and Data Science Synergies

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    Data scientists are both consumers of data (raw and curated) and producers of refined data and information outcomes (decision support, discovery, and exploration outcomes). If not utilized properly, data scientists are the most expensive data engineering resource you will ever hire! Learn how the Data Vault 2.0 System of Business Intelligence naturally aligns and employs

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  • Episode 8: Minimalizing Rework, Reengineering, and Refactoring in your Analytic Solution

    Episode 8: Minimalizing Rework, Reengineering, and Refactoring in your Analytic Solution

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    Join Us for Unlocking the Vault with Dan Linstedt How does the DV2 approach safe guard your analytics solution? Join Sanjay Pande and Dan Linstedt as they discuss the benefits of Data Vault 2.0, recounting stories from years of experience and the challenges they faced along the way. Hear how Data Vault truly is the complete

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