We recently published the IBM® Redguide™ Taming the Data Beast with Tarmin GridBank and the IBM XIV Storage System to coincide with the IBM XIV® Storage System announcement on October 8. One of the key concepts (aha moment) for me while working on this Redguide was the opportunity to scale the data and the management of the data using the grid-based products together.
This Redguide publication explains how the Tarmin™ GridBank Data Management Platform™ transforms the way organizations manage, scale, search, and gain value from unstructured data by uniting application, information, and storage tiers into a single, integrated data centric management architecture. There is also a focus on how well IBM XIV® storage systems (infrastructure designed for Big Data Analytics and cloud ready) fit into the GridBank architecture for solving current storage management challenges. Together Tarmin GridBank and IBM XIV can tame the data beast.
Tarmin, Inc. is a global pioneer of Data Defined Storage, a next generation data management platform focused on data accessibility and the value of information as a strategic business enabler. The Tarmin solutions presented in this Redguide address the following storage challenges:
Data Growth: Exponential unstructured data growth driving up cost and management overhead
Data Silos: Limited access to data between business units, locations and hardware
Data Risk: Increasingly stringent regulatory and legal compliance mandates
Data Protection: Multiple solutions required for disaster prevention, retention and immutability
Data Discovery: Restricted search capability across massively complex data repositories
Data Value: Storage is seen as a cost center versus a strategic business enabler
Figure 1 shows the architecture using cloud GridBank sites with XIV storage pools and IBM InfoSphere BigInsights.
Figure 1 GridBank with XIV configuration
Figure 2 illustrates Oil and Gas Exploration and Production configuration use case. The Redguide also shows examples of Financial Services and Education use cases. I am sure these examples will generate many more ideas and examples of using grid-based solutions to solve current storage challenges.
Figure 2 Example of Oil and Gas Exploration and Production configuration