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Description

ISBN-0470016337

Businesses now rely almost entirely on applications and databases, causing data and storage needs to increase at astounding rates.

It is therefore imperative for a company to optimize and simplify the complexity of managing its data resources.

Plenty of storage products are now available, however the challenge remains for companies to proactively manage their storage assets and align the resources to the various departments, divisions, geographical locations and business processes to achieve improved efficiency and profitability.

Data Lifecycles identifies ways to incorporate an intelligent service platform to manage and map the storage of data.

The authors give an overview of the latest trends and technologies in storage networking and cover critical issues such as world-wide compliance.

Data Lifecycles:
Provides a single-source guide to data and storage methodologies, processes, technologies and compliance issues.

Addresses the need of an encompassing intelligent data and storage management platform for modern businesses.
Gives an overview of the latest data technologies and concepts such as utility computing and information lifecycle management.

Clearly defines and describes lifecycle management and strategies to ensure growth of critical business data.
Shows how to dramatically reduce the total cost of storage ownership and provide rapid return on investment.

Liked the Description? Buy from www.amazon.com

Description

ISBN-047007471X

A practical, step-by-step approach to making sense out of dataMaking Sense of Data educates readers on the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project.

The author provides clear explanations that guide the reader to make timely and accurate decisions from data in almost every field of study.

A step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions.

With a comprehensive collection of methods from both data analysis and data mining disciplines, this book successfully describes the issues that need to be considered, the steps that need to be taken, and appropriately treats technical topics to accomplish effective decision making from data.

Readers are given a solid foundation in the procedures associated with complex data analysis or data mining projects and are provided with concrete discussions of the most universal tasks and technical solutions related to the analysis of data, including:

* Problem definitions
* Data preparation
* Data visualization
* Data mining
* Statistics
* Grouping methods
* Predictive modeling
* Deployment issues and applications

Throughout the book, the author examines why these multiple approaches are needed and how these methods will solve different problems.