Lenovo Big Data Validated Design for IBM Data Science Experience LocalReference Architecture

Published
16 Apr 2018
Form Number
LP0847
PDF size
23 pages, 588 KB

Abstract

This document describes the reference architecture for the Lenovo Big Data Validated Design for IBM Data Science Experience (DSX) Local with ThinkSystem Servers. It provides a predefined and optimized hardware infrastructure for high performance implementation of IBM DSX Local software. This reference architecture provides planning, design considerations, and best practices for implementing IBM DSX Local with Lenovo and Intel products.

With ever increasing amounts of data being made available to an enterprise, the challenge of deriving the most value from it has become very important. This task requires the use of suitable analytics software running on a tuned hardware platform. Running DSX Local for machine learning use cases as well as incorporating it alongside Data Lakes are areas of significant interest and focus. The IBM DSX Local solution described in this document is very well suited for implementing the infrastructure to support these modern analytics initiatives.

Table of Contents

Introduction
Business problem and business value
Requirements
Architectural overview
Component model
Operational model
Deployment considerations
Acknowledgements
Resources
Document history

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