Enterprise companies store huge volumes of data coming from numerous data sources, such as the Internet, mobile applications, social media, etc. For most, their data storage solution is becoming more challenging to manage and limits their continuous growth.
Databases represent the backbone of most organizations. They have become the mainstream data repository for most mission critical environments. Most large companies and organizations in the world rely on Oracle, SQL Server, and other databases to store their most important data. The biggest challenge organizations face relative to an enterprise database is to maintain these databases at optimum performance and reliability without breaking the bank.
Large databases pose a unique challenge to enterprise data storage arrays by providing an I/O profile that can be unpredictable and that often overwhelms the storage subsystem. This can result in high latencies and low IOPS, which in turn increase the run time of database workloads.
Enterprise databases demand the following from its underlying storage subsystem:
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