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Showing 20 results · Page 6 for “quality”. More results are available below.
CSPP · Project monitoring and change
A proposed change can affect scope, schedule, cost, quality and risk together. Document the request and evaluate those effects before the authorized decision. Update approved plans and commu…
DBT-AE · Data quality
…ht data type and still be wrong for the business. Data quality checks should cover required values, uniqueness, valid ranges and relationships, along with freshness and consistency. Place ch…
DBT-AE · dbt analytics engineering
… records. A successful build establishes execution, so quality tests must separately verify the assumptions consumers rely on. Worked example One dbt model depends on another. Which function…
DBT-ARCH · Data quality
…ht data type and still be wrong for the business. Data quality checks should cover required values, uniqueness, valid ranges and relationships, along with freshness and consistency. Place ch…
DBT-ARCH · dbt analytics engineering
… records. A successful build establishes execution, so quality tests must separately verify the assumptions consumers rely on. Worked example One dbt model depends on another. Which function…
DBX-CTX · Databricks lakehouse concepts
A lakehouse workflow can separate raw ingestion from validated and business-ready datasets. Each layer should have a clear contract rather than merely a different folder name. Preserve enoug…
DBX-DAA · Data quality
…ht data type and still be wrong for the business. Data quality checks should cover required values, uniqueness, valid ranges and relationships, along with freshness and consistency. Place ch…
DBX-DAA · Databricks lakehouse concepts
A lakehouse workflow can separate raw ingestion from validated and business-ready datasets. Each layer should have a clear contract rather than merely a different folder name. Preserve enoug…
DBX-DEA · Databricks lakehouse concepts
A lakehouse workflow can separate raw ingestion from validated and business-ready datasets. Each layer should have a clear contract rather than merely a different folder name. Preserve enoug…
DBX-DEP · Data governance
…overnance defines who is accountable for data meaning, quality, access and retention. A catalog can describe datasets and lineage, but decisions still need responsible owners. Establish how …
DBX-DEP · Databricks lakehouse concepts
A lakehouse workflow can separate raw ingestion from validated and business-ready datasets. Each layer should have a clear contract rather than merely a different folder name. Preserve enoug…
DBX-GAI · Databricks lakehouse concepts
A lakehouse workflow can separate raw ingestion from validated and business-ready datasets. Each layer should have a clear contract rather than merely a different folder name. Preserve enoug…
DBX-MLA · Databricks lakehouse concepts
A lakehouse workflow can separate raw ingestion from validated and business-ready datasets. Each layer should have a clear contract rather than merely a different folder name. Preserve enoug…
DBX-MLP · Databricks lakehouse concepts
A lakehouse workflow can separate raw ingestion from validated and business-ready datasets. Each layer should have a clear contract rather than merely a different folder name. Preserve enoug…
DBX-SPARK · Data quality
…ht data type and still be wrong for the business. Data quality checks should cover required values, uniqueness, valid ranges and relationships, along with freshness and consistency. Place ch…
DBX-SPARK · Databricks lakehouse concepts
A lakehouse workflow can separate raw ingestion from validated and business-ready datasets. Each layer should have a clear contract rather than merely a different folder name. Preserve enoug…
DP-100 · Statistics and measurement
…ding. Consider distribution, variation and measurement quality before interpreting an average. Correlation describes association and does not, by itself, establish that one variable caused a…
DP-600 · Data governance
…overnance defines who is accountable for data meaning, quality, access and retention. A catalog can describe datasets and lineage, but decisions still need responsible owners. Establish how …
DP-600 · Microsoft Fabric analytics
…e results when upstream ingestion failed. Use lineage, quality checks and explicit ownership to diagnose the stage that introduced a delay or incorrect value. Worked example A Fabric team wa…
DP-700 · Data quality
…ht data type and still be wrong for the business. Data quality checks should cover required values, uniqueness, valid ranges and relationships, along with freshness and consistency. Place ch…
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