SYNOPSIS

Over the past decade, the amount of data enterprises gather and store has boomed. Many solutions, such as cloud storage and SSD technology, have risen to meet the new challenges brought by large volumes of data. However, these solutions are sometimes dismissed due to security or cost concerns. If such is the case for your enterprise, you still have the option of using one storage solution that continues to stand the test of time: data compression.

CHAPTER PREVIEWS

Article 1: The Increasing Importance of Compression in the Enterprise

Over the past decade, the amount of data enterprises gather and store has boomed. Many solutions, such as cloud storage and solid-state drive (SSD) technology, have risen to meet the new challenges brought by large volumes of data. However, these solutions are sometimes dismissed due to security or cost concerns. If such is the case for your enterprise, you still have the option of using one storage solution that continues to stand the test of time: data compression.

Article 2: Compression Technologies: Distinguishing Factors

Data compression is an important and well-studied problem. One of the earliest compression algorithms, the Lempel-Ziv algorithm, was invented in the 1970s. These compression algorithms, and others like it, became increasingly important as use of the Internet grew. Compression technologies are now commonly used throughout IT deployments.

Article 3: Guidelines for Evaluating and Selecting a Compression Technology

Finding the right data compression solution is a complex task. There are multiple factors that must be taken into consideration, including platform support, application support, and overall value. In the end, choosing a compression solution involves balancing all factors to find the technology that best suits your operation’s needs.