Google Professional Data Engineer
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A financial services company utilizes a single Bigtable cluster for storing equity price data, experiencing high write operations during trading hours alongside analytic batch jobs running throughout the day. As a Google Professional Data Engineer, what optimization strategy would you recommend for Bigtable's performance?
A
Continue to write data to Bigtable but create a Cloud Dataflow job to copy data to a Cloud Firestore data warehouse for batch operations.
B
Isolate the write and batch workloads by adding a second cluster to the Bigtable instance and create two app profiles, one for write traffic and one for batch jobs.
C
Continue to write data to Bigtable but create a Cloud Dataflow job to copy data to a Cloud Spanner data warehouse for batch operations.
D
Isolate the write and batch workloads by adding a second set of tables to the Bigtable instance and write the data needed by batch jobs to the second set of tables.