Manage a solution that can span multiple database solutions — Professional Cloud Database Engineer

Official references for this objective

• Google Cloud — Bigtable: fast, flexible NoSQL | Google Cloud

  Bigtable Data Boost enables users to run analytical queries, batch ETL processes, train ML models, or export data faster without affecting transactional workloads. Data Boost

• Google Cloud — Google Cloud databases | Google Cloud

  Database Migration Service : Simplify migrations from MySQL, PostgreSQL, SQL Server, and Oracle databases to Cloud SQL and AlloyDB.

• Google Cloud — Storage Transfer Service | Google Cloud

  Transfer data quickly and securely between object and file storage across Google Cloud, Amazon, Azure, on-premises, and more.

• Google Cloud — BigQuery | AI data platform | EDW

  Streamline your migration path from Netezza, Oracle, Redshift, Teradata, Snowflake, or Databricks to BigQuery using the free, AI-powered and fully managed BigQuery Migration Service.

• Google Cloud — Cloud SQL for MySQL, PostgreSQL, and SQL Server | Google Cloud

  Stream data across heterogeneous databases, storage systems, and applications reliably and with minimal latency with Datastream and Datastream for BigQuery.

• Google Cloud — Database Migration Service | Google Cloud

  For homogenous migrations, where the source and destination are the same database engine, Database Migration Service is offered at no additional charge.

• Google Cloud — SQL Server | Google Cloud

  Bring your existing SQL Server licenses and run them on Compute Engine

• Google Cloud — Spanner: Always-on, virtually unlimited scale database | Google Cloud

  Spanner integrates seamlessly with data lakehouses like BigQuery leveraging federated queries to analyze data across Spanner and BigQuery in real-time, or utilizing one-click reverse ETL