5 Things to Know About a Data Reservoir
PhilipMonson 11000074CG Visits (13259)
This post is contributed by Mandy Chessell - IBM Distinguished Engineer, Master Inventor and member of the IBM Academy of Technology. Her current role is the Chief Architect for Information Solutions in the IBM Analytics Group CTO office. The related IBM Redbooks publication to this blog post is
For an organization to be agile, in a sustainable, repeatable manner, it must have an agile, automated and sustainable information architecture. This architecture feeds key information to decision makers in real-time as they work.
How do you architect your IT systems to supply trusted information in context on demand?
Last year we published an IBM Redguide, Gove
Our next Redbooks publication, Desi
While you are waiting for it to download, here are five things to know about the data reservoir:
1.) The data reservoir is a reference architecture for a system of insight.
A system of insight complements the systems of engagement and systems of record. It provides a place to accumulate data, develop analytics and understand the operations of multiple parts of the organization. It is both a factory for new insight and a collaboration space to investigate, explore and develop analysis.
Collecting data is important. But is also important to be able to locate and access the information needed in an appropriate format.
4.) The data reservoir architecture is specified using a patterns based approach to describe the behavior of its components.
The architecture of the data reservoir is build on a comprehensive collection of design patterns for information architecture called the Patterns of Information Management
5.) The data reservoir supports the analytics lifecycle for discovering data, exploring patterns in the data and building analytical models that can be deployed into the data repositories.
The data reservoir recognizes the different stages that data moves through to be transformed into insightful information. The data that the data reservoir manages is zoned to support both the development of analytics as well as its use in production.