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Learn oracle RAC from best Institutes in Udaipur. Oracle RAC or RAC or Real Application Cluster is a cluster database with a shared cache architecture that overcomes the limitations of traditional shared-nothing and shared-disk approaches to provide highly scalable and available database solutions for all business applications. Oracle RAC is a key component of Oracles private cloud architecture that allows a database to be installed across multiple servers. According to Oracle, RACs shared disk method of clustering databases increases scalability. This is because servers can easily be added or subtracted to meet current needs, lowers costs because companies dont have to buy high-end servers, and improves availability because if one server fails, another can assume its workload.

The shared disk architecture of RAC is an approach to database clustering. Most competing database products use the alternative, which is known as "shared nothing" architecture. Shared nothing architecture partitions data and only gives each server access to its own disk subsystem, while shared disk architecture gives all servers access to the entire database. This adds failover capacity to the database, because all servers have access to the whole database. hence oracle RAC provides reliability and availability significantly.

Oracle RAC enables the transparent deployment of Oracle Databases across a pool of clustered servers. This enables customers to easily re-deploy their single server Oracle Database onto a cluster of database servers. Hence they can take full advantage of the combined memory capacity and processing power the clustered database servers provide. It provides customers with the highest database availability by removing individual database servers as a single point of failure. In a clustered server environment, the database itself is shared across a pool of servers, which means that if any server in the server pool fails, the database continues to run on surviving servers. Oracle RAC not only enables customers to continue processing database workloads in the event of a server failure, it also helps to further reduce costs of downtime by reducing the amount of time databases are taken offline for planned maintenance operations.
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