- Introduction to the solution
- Reference architecture
- Design considerations
- Solution customization
- Cluster management
- Step by step integration and configuration for IBM Spectrum Scale (formerly GPFS), Hadoop and IBM Platform Symphony
- BEAT introduction
Dino Quintero's Redbooks Blog
DinoQuintero 2700050KT5 Tags:  manager infosphere platform systems power analytics edition cluster spectrum storage advanced ibm linux biginsights scale 14,356 Views
The residency team is pleased to announce the draft release of the Implementing an IBM InfoSphere BigInsights Cluster using Linux on Power, SG24-8248. The topics described in this publication are as follows:
The draft publication can be downloaded at the following website:
Note: The team encourages the readers to send us feedback. Please add your comments to my blog entry.
Keep tune to http://www.redbooks.ibm.com/ under the Residencies Tab for IBM ITSO residency announcements for BigData and analytics on IBM Power Systems.
For additional information about IBM BigData and analytics on IBM Power Systems, refer to the following website:
DinoQuintero 2700050KT5 Tags:  spss elastic cognos scale engine server spectrum power biginsights (ess) data ibm solutions systems power8 storage on analytics for 13,372 Views
The IBM Analytics Solutions on IBM POWER8 residency team would like to invite you to stop by the IBM booth during SC15 in Austin, Texas to see the implementation of the IBM Data Engine for Analytics on IBM POWER8 with the IBM Elastic Storage Server (ESS), and to view the demonstration on how to leverage IBM BigInsights, IBM DB2, IBM BigSQL, IBM Cognos, IBM SPSS, and IBM Spectrum Scale for a real time retail offer generation.
The residency team consisted of (from left to right, see photo below):
For more information about the SC15 conference, refer to the following website:
DinoQuintero 2700050KT5 Tags:  ibm computing power analytics biginsights hadoop platform power8 infosphere systems 12,694 Views
I would like to announce the opening for nominations for the Implementing an Analytics Optimized Solution on IBM POWER8 residency focusing on configuring, writing, exploring, testing, tuning, and documenting how to leverage the latest IBM POWER8 and Big Data solutions to run analytics workloads.
The goal for this residency is to continue to develop technical content and scenarios to:
1. Describe how to plan, prepare, install, manage and show how to use IBM POWER8 to run analytic workloads on IBM POWER8.
2. Deliver additional technical documentation, complementing available products and solutions manuals to help you with your data analytic needs.
3. Document scenarios on how to use IBM POWER8 Cluster for Technical Computing workloads.
The residency announcement including time table, requirements, and the nomination form which can be found at the following website:
Note: Your feedback is important and welcome. For topic suggestions or residency recommendations, please add your comments to my blog entry.
For more information on IBM Analytics Solutions, refer to the solutions website at: