Enterprise Data Catalog Supports Which of the Following Use Cases

BigQuery supports conventional data models based on star schema and snowflake schema. The connector can be used for ingesting principals into Cognitive Search in near real time to implement use cases like expert search equipment search and location search or to provide early-binding security trimming in conjunction with custom data sources.

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Data and processes across your enterprise.

. Teams then catalog and apply governance to the data so they can use it for analyses visualizations and machine learning models. IT teams leverage consistent security policies across data warehouses and data lakes. Data Factory Copy Activity supports wildcard file filters when youre copying data from file-based data stores.

Gather store process analyze and visualize data of any variety volume or velocity. Customers ingest any data via batch streaming or real-time processes and store it in data warehouses or data lakes as needed. The connector supports federated authentication against Microsoft 365.

In some cases you might want to use nested and repeated fields to denormalize your data. This architecture combines the abilities of a data lake and a data warehouse to provide a modern data lake house platform that processes streaming data and other types of data from a broad range of enterprise data resources. Apply advanced language models to a variety of use cases.

Use this architecture to leverage the data for business analysis machine learning and data services. BigQuery also supports INNER FULLRIGHTLEFT OUTER and CROSS JOIN operations. In these models fact tables are joined with dimension tables.

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