A data team has been given a series of projects by a consultant that need to be implemented in the Databricks Lakehouse Platform. Which of the following projects should be completed in Databricks SQL?
A.
Testing the quality of data as it is imported from a source
B.
Tracking usage of feature variables for machine learning projects
C.
Combining two data sources into a single, comprehensive dataset
D.
Segmenting customers into like groups using a clustering algorithm
E.
Automating complex notebook-based workflows with multiple tasks
Databricks SQL is a service that allows users to query data in the lakehouse using SQL and create visualizations and dashboards1.One of the common use cases for Databricks SQL is to combine data from different sources and formats into a single, comprehensive dataset that can be used for further analysis or reporting2.For example, a data analyst can use Databricks SQL to join data from a CSV file and a Parquet file, or from a Delta table and a JDBC table, and create a new table or view that contains the combined data3. This can help simplify the data management and governance, as well as improve the data quality and consistency.
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csrazdan
4 months ago