Google Cloud Data Engineering Course | Gcp Data Engineer Training In Hyderabad

By Author: Siva
Total Articles: 142
Comment this article

What is Google Cloud Spanner? And Key Features
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. - Google Cloud 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. - GCP Data 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. - Google Cloud 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. - GCP Data 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. - Google Cloud Data Engineer Online Training