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Answer: Bigtable
The correct choice is Bigtable, as it offers a data storage solution that includes an HBase compatible API, making it an ideal replacement for Hadoop and HBase without requiring significant changes to existing applications. BigQuery serves as a data warehouse supporting SQL queries but lacks HBase API compatibility. Cloud Spanner is designed as a relational database, not a substitute for Hadoop and HBase. Cloud Dataflow provides a data pipeline service featuring an Apache Beam runner. For more details, visit [Google Cloud Bigtable documentation](https://cloud.google.com/bigtable/docs/hbase-bigtable).
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A team of data scientists is currently utilizing an on-premises cluster that runs Hadoop and HBase. They are looking to transition to a managed service within Google Cloud, aiming to reduce modifications to their existing programs that heavily rely on the HBase API. Which Google Cloud Platform (GCP) service would you suggest for their needs?
A
Cloud Spanner
B
BigQuery
C
Bigtable
D
Cloud Dataflow