As organizations continuously push the boundaries of storage size and storage bandwidth, scalability of an analytics infrastructure is critical. The amount of data that an organization must manage is growing due to business expansion, compliance regulations and long-term data retention and preservation requirements.
Information complexity and overload are forcing companies to institute intelligent data management policies and procedures in order to control costs and stay competitive. That means knowing the value of your information, and classifying it accordingly.
You know that data tends to decrease in value over time. And you know that newer data is accessed more frequently than older data.
This brief white paper outlines information lifecycle management (ILM), a set of strategies for managing the growth, storage and retrieval of information over its useful life. Its goal is to ensure that frequently accessed data is returned as fast as possible, while controlling storage costs. Sybase IQ includes a set of storage management, data partitioning and data placement features that enable you to implement ILM.