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Google Cloud Spanner is a fully managed, globally
distributed, and strongly consistent database service offered by Google Cloud
Platform (GCP). Launched in 2017, it combines the benefits of traditional
relational databases with the scalability and global distribution capabilities
of cloud-native databases. Google Cloud Spanner is designed to provide
horizontal scaling, high availability, and strong consistency across multiple
regions, making it suitable for global applications with demanding requirements.
- GoogleCloud Data Engineer Training
Key Features of Google Cloud Spanner:
1. Global Distribution:
· Google
Cloud Spanner is built for global distribution, allowing users to deploy
databases across multiple regions. This enables low-latency access to data for
users around the world. - GCPData Engineering Training
2. Horizontal Scaling:
· Spanner
provides horizontal scaling by automatically sharing data across multiple nodes
and leveraging the power of Google's infrastructure. This allows it to handle
large datasets and high transaction volumes.
3. Strong Consistency:
· One
of the distinctive features of Spanner is its strong consistency model. It
ensures that all nodes in the database see the same version of the data at the
same time, providing a globally consistent view.
4. Horizontal and Vertical Partitioning:
· Spanner
supports both horizontal partitioning (sharding) and vertical partitioning
(splitting tables into smaller pieces). This flexibility helps optimize the
performance and storage efficiency of the database. - GoogleCloud Data Engineering Course
5. SQL Support:
· Spanner
uses a SQL-based query language, making it familiar to developers experienced
with relational databases. It supports standard SQL queries, transactions, and
schema definition.
6. Automatic Sharding and Replication:
· Spanner
automatically shards and replicates data across multiple nodes for high
availability and fault tolerance. Automatic replication ensures that data is
redundantly stored in different locations.
7. Global Transactions:
· Spanner
enables globally distributed transactions, allowing applications to perform
transactions that involve multiple regions. This is crucial for maintaining
data consistency in globally distributed environments. - GCPData Engineer Training in Hyderabad
8. Integration with GCP Services:
· Spanner
seamlessly integrates with other Google Cloud services, including BigQuery,
Cloud Storage, and Cloud Functions, providing a comprehensive ecosystem for
building and deploying applications.
9. Security and Compliance:
· Google
Cloud Spanner incorporates robust security features, including encryption in
transit and at rest, identity and access management (IAM), and compliance with
industry standards.
10. Serverless Mode:
· Spanner
offers a serverless mode, known as "single-region instances," which
simplifies deployment and management for certain workloads. - GoogleCloud Data Engineer Online Training
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