Michael, a Data Engineer Running a Data query to achieve Union of Data sets coming from Multi-ple data
sources, later he figured out that Data processing query is taking more time than expected. He started
analyzing the Query performance using query profile interface. He discovered & realized that he used UNION
when the UNION ALL semantics was sufficient.
Which Extra Data Processing Operator Michael figured out while doing query profile analysis in this case
which helps him to identify this performance bottlenecks?
As part of Table Designing, Data Engineer added a timestamp column that inserts the current timestamp as the
default value as records are loaded into a table. The intent is to capture the time when eachrecord was loaded
into the table; however, the timestamps are earlier than the LOAD_TIME column values returned by
COPY_HISTORY view (Account Usage). What could be reason of this issue?
Which of the below techniques leverages performance efficiencies by enabling large and complex Spark logical plans (in their entirety or in parts) to be processed in Snowflake, thus using Snowflake to do most of the actual work.