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What is Google Cloud Spanner?

Data Engineer is a professional responsible for designing, building, and maintaining the data infrastructure and systems that enable an organization to collect, store, process, and analyze data effectively. Cloud Spanner is a fully managed, globally distributed, and strongly consistent relational database service offered by Google Cloud Platform (GCP). It is designed to combine the benefits of traditional relational databases with the scalability and availability of a globally distributed, cloud-native database system. 

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Key features and characteristics of Cloud Spanner include:

1. Global Distribution: Cloud Spanner is designed to span multiple regions and continents, providing low-latency access to data for users and applications around the world. It uses a distributed architecture to replicate data across regions while ensuring strong consistency. - GCP Online Training

 

2. Horizontal Scalability: It can automatically and dynamically scale both storage and compute resources to handle changing workloads, making it suitable for applications with varying traffic patterns. - GCP Training in Ameerpet

3. Strong Consistency: Cloud Spanner provides strong transactional consistency, which means that data changes are visible across the entire global database immediately. This consistency is achieved even in a distributed environment. - Google Cloud Data Engineer Training

 

4. SQL Support: Cloud Spanner uses SQL as its query language, making it familiar and easy to use for developers who are experienced with relational databases. - GCP Data Engineer Online Training

5. Automatic Backups and Maintenance: Google Cloud manages backups and handles routine maintenance tasks such as software updates, hardware replacements, and scaling, reducing the operational burden on users.

6. Security: It offers robust security features, including encryption at rest and in transit, IAM (Identity and Access Management) integration, and audit logging to help users meet compliance requirements. – GCP Training in Hyderabad

7. High Availability: Cloud Spanner is designed for high availability with a 99.99% uptime SLA (Service Level Agreement). It replicates data across multiple zones and regions, ensuring resilience against failures.

8. Integration with Google Cloud Ecosystem: Cloud Spanner seamlessly integrates with other Google Cloud services like BigQuery, Dataflow, and more, allowing users to build comprehensive data processing pipelines.

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9. Multi-Version Concurrency Control (MVCC): Cloud Spanner uses MVCC to handle concurrent transactions, enabling multiple users to work with the database simultaneously without compromising data integrity.

10. Automatic Sharding: Data is automatically sharded and distributed across multiple servers and nodes, making it easy to scale and manage large datasets.

 

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