Managing Data in Today's Information Overloaded World
An IBM Redbooks Point-of-View publication
Published 13 December 2012
IBM Form #: REDP-4945-00
(7 pages)
View online
Other Language Versions
Note: Other language versions may not be as current as the English edition.
Authors: Dan Wolfson, Thomas Pflueger, Vincent Hsu
Abstract
The landscape of today’s information infrastructure is continually changing. The amount of data that is being collected is increasing, and organizations are finding new ways to analyze, evaluate, and use the information that they collect. In addition, hardware trends are making it cost effective to capture new information sources and to automate data management.
In the hardware arena especially, falling prices and increasing capacity for memory devices are reshaping the storage industry. Solid-state drives (SSDs), large amounts of RAM, and new I/O technologies influence raw system performance. The traditional paradigm that a system structure is built by a processor, cache, and global memory (dynamic RAM (DRAM)) is now being challenged by new trends.
In addition, system virtualization can improve the utilization of hardware, software, networking, and storage resources. It can treat the physical resources as pools of virtual resources, which can in turn be dynamically allocated and reallocated in response to workload demands.
As the amount of data for your business grows, your enterprise can stay competitive by addressing the following trends:
- Increased capacity for memory and devices at a lower cost
- Hardware virtualization that allocates and reallocates hardware resources in response to workload demands
- Software that takes advantage of the evolution in hardware technologies
- Big data that combines emerging technologies to support massively distributed computations
This IBM® Redbooks® Point-of-View publication describes how to stay ahead of today's trends to manage data in your enterprise.
Table of contents
Emerging trends in information infrastructure technology
The journey to an efficient information infrastructure
Why IBM?