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Answer: Use Delta Lake time travel capabilities to access historical versions, optimizing current version access via partitioning and z-ordering.
The most effective strategy for maintaining immutable historical records of rapidly changing data while ensuring efficient query performance and data integrity is to use Delta Lake time travel capabilities. This approach leverages Delta Lake's inherent support for immutability, where updates or deletions create new files and record changes in the transaction log. Time travel uses this log to access previous versions. Partitioning and z-ordering optimize query performance by narrowing down data scans and colocating related data on disk, respectively. This method simplifies management by keeping data in a single managed table, avoiding the complexity of managing numerous files or branches. Other options either complicate data management, lack efficient access to historical snapshots, or introduce significant overhead and query complexity.
Author: LeetQuiz Editorial Team
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For a data lakehouse designed to maintain immutable historical records of rapidly changing data, which strategy ensures efficient query performance and data integrity across versioned records?
A
Store each version as a separate file in a partitioned directory structure, leveraging metastore version annotations for query access.
B
Implement a branching data model within the lakehouse, creating separate branches for each version and merging them for analysis.
C
Utilize Delta Lake’s MERGE feature to upsert changes into a single versioned table, partitioned by the record timestamp.
D
Use Delta Lake time travel capabilities to access historical versions, optimizing current version access via partitioning and z-ordering.
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