Best Practices – Case Study on Metadata
in a SAS Visual Analytics Environment

The main purpose of metadata is to facilitate the discovery of relevant information, more often classified as resource discovery. Metadata helps organize electronic resources, provide digital identification and support preservation of the resource. Metadata assists in resource discovery by allowing resources to be found by relevant criteria, identifying resources, bringing similar resources together, distinguishing dissimilar resources, and giving location information.
Metadata is an integral and critical part of any environment and provides a unique identification of every single digital component of a system, simple to complex. SAS Visual Analytics being one of the most powerful analytics visualization platform, leverages the power of metadata to provide a plethora of functionalities for all types of users. The possibilities range from real-time advanced analytics, power user reporting to advanced deployment features for a robust and scalable distributed platform to internal and external users.
Designing and building the architecture of a distributed SAS Visual Analytics environment requires attention to various important factors like User Groups and Roles, Access Management, Data Protection, Data Volume Control, Performance Requirements etc. It helps the Visual Analytics Data Administrators to improve the platform benchmark through Memory Mapping, performing Administrative Data Load (AUTOLOAD, Unload, Reload-on-Start etc.), monitoring artifacts of distributed LASR Servers on co-located HDFS, optimizing high-volume access via Full Copies, and building customized FLEX themes, etc. It showcases practical approaches to managing a Distributed SAS LASR Analytics Servers, offering Guest Access for global users, manage Host Accounts, enabling Mobile BI, power ¬user reporting features, customized formats, enabling home page customization, best practices for Environment Migration and much more.
A presentation of Best Practices for how to build a sustainable and scalable metadata architecture through a top-down hierarchical approach in SAS Visual Analytics is being presented at the SAS User conference. Please check back read the presentation.