Oracle Database 19c Real Application Clusters (RAC) and Grid Infrastructure Administration

1. High Availability: Oracle RAC provides built-in high availability features, ensuring continuous availability of databases by distributing workload across multiple nodes in the cluster.

2. Scalability: Administrators can dynamically add or remove nodes from the RAC cluster to accommodate changing workload demands, allowing for scalability as the business grows.

3. Shared Storage Management: Oracle ASM, part of Grid Infrastructure, simplifies the management of shared storage for RAC databases, providing features like mirroring, striping, and rebalancing.

4. Cluster Management: Grid Infrastructure includes Oracle Clusterware, which manages cluster resources, handles node membership, and ensures the availability of critical services in the RAC environment.

5. Automatic Workload Management: Administrators can configure services and instances to automatically balance workload across nodes based on predefined criteria such as CPU utilization or database metrics.

Before learning Oracle Database 19c Real Application Clusters (RAC) and Grid Infrastructure Administration, it's beneficial to have the following skills:

1. Proficiency in Oracle Database administration.
2. Understanding of RAC architecture and concepts.
3. Familiarity with Oracle ASM (Automatic Storage Management).
4. Knowledge of Linux/Unix operating systems.
5. Experience with database backup and recovery techniques.
6. Understanding of networking concepts and configuration.

By learning Oracle Database 19c Real Application Clusters (RAC) and Grid Infrastructure Administration, you gain the following skills:

1. Proficiency in administering Oracle RAC environments for high availability.
2. Expertise in configuring and managing shared storage using Oracle ASM.
3. Knowledge of deploying and maintaining Oracle Grid Infrastructure components.
4. Ability to perform database administration tasks in a clustered environment.
5. Skills in monitoring and troubleshooting RAC databases and cluster resources.
6. Understanding of scalability and performance optimization techniques for RAC.