• Title Storage Basics: An Introduction to the Fundamentals of Storage Technology
• Author(s) Fujitsu Siemens Computers
• Publisher: Fujitsu Siemens Computers (January 2009)
• eBook 103 pages
• Language: English
• ISBN-10: N/A
• ISBN-13: N/A
• Share This:  

Book Description

A concise and accessible description of storage and information systems, filling a large gap in reference material for this critical topic area.

Storage is one of the most basic operations performed by computers, yet it continues to evolve. In the days of mainframes, data was stored physically separate from the actual processing unit, but was still only accessible through the processing units. As PC based servers became more commonplace, storage devices went "inside the box" or in external boxes that were connected directly to the system. Each of these approaches was valid in its time, but as our need to store increasing volumes of data and our need to make it more accessible grew, other alternatives were needed.

Network storage is a generic term used to describe network-based data storage, but there are many technologies within it. Direct Attached Storage (DAS) is a storage device that is directly attached to a host system. The simplest example of DAS is the internal hard drive of a server computer, though storage devices housed in an external box come under this banner as well. DAS is still, by far, the most common method of storing data for computer systems.

Network Attached Storage, or NAS, is a data storage mechanism that uses special devices connected directly to the network media. These devices are assigned an IP address and can then be accessed by clients via a server that acts as a gateway to the data, or in some cases allows the device to be accessed directly by the clients without an intermediary.

A Storage Area Network (SAN) is a network of storage devices that are connected to each other and to a server, or cluster of servers, which act as an access point to the SAN. In some configurations a SAN is also connected to the network. SANs use special switches as a mechanism to connect the devices. These switches, which look a lot like a normal Ethernet networking switch, act as the connectivity point

Why is it important to learn the basics of storage technology? As mentioned earlier, how enterprises store data is becoming more than a best practice, it's becoming a legal matter as well, and the penalties for individuals and corporations can be severe.

Storage is also a growing area within IT, which means employment opportunities exist now, and should exist for some time. According to a one study, fewer than 25 percent of either Unix-/Linux- or Windows-based IT organizations had their own storage management team at the end of 2004. By the end of 2006, however, that number is expected to soar above 75 percent.

• N/A

• Amazon

• Data Storage, Data Warehouse, Data Lake, etc.
• Data Analysis and Data Mining
• Big Data
• Data Science

• Storage Basics: An Introduction to the Fundamentals of Storage Technology
• The Mirror Site (1) - PDF
• The Mirror Site (2) - PDF

• Introduction to Storage Area Networks (Jon Tate, et al)

  This book provides an introduction to SAN and Ethernet networking, and how these networks help to achieve a smarter data center. This book is intended for people who are not very familiar with IT, or who are just starting out in the IT world.

• Rethinking Enterprise Storage: A Hybrid Cloud Model (Marc Farley)

  The book explains how hybrid cloud storage changes the ways data protection is accomplished without tape backup systems; how disaster recovery works with data that is stored in the cloud; how cloud services are used to facilitate capacity management.

• Data Storage (Florin Balasa)

  This books introduces the features, advantages, and underlying technologies associated with every current data storage option, including hard drives, DVD, CD, removable media storage systems such as Jaz and Zip, tape backup, and RAID.

• Trends in Data Protection and Encryption Technologies

  This book provides an overview of the changing landscape of encryption and data protection technologies and their global usage trends, serves as a guide for decision-making within administrations, government organizations, and industry.

• Scalable Data Management for Future Hardware

  This open access book details requirements and solutions of how modern and future hardware architectures can be leveraged to address the challenges in modern data management.

• Data Compression: The Complete Refrence (David Salomon)

  A comprehensive reference for the many types of Data Compression, including extensive coverage of audio and video compression, geometric compression and the edgebreaker method, and information about archiving data.

• Data Spaces: Design, Deployment and Future Directions

  This open access book aims to educate Data Space designers to understand what is required to create a successful data space. It arranges these contributions into three parts: design, deployment, and future directions respectively.

• Designing Data Spaces: The Ecosystem Approach Advantage

  This open access book provides a comprehensive view on data ecosystems and platform economics from methodical and technological foundations up to reports from practical implementations and applications in various industries.

• Real-time Linked Dataspaces: Enabling Data Ecosystems

  This open access book explores the dataspace paradigm as a best-effort approach to data management within data ecosystems. It establishes the theoretical foundations and principles of real-time linked Dataspaces as a data platform for intelligent systems.

• Building the Data Lakehouse (Bill Inmon, et al.)

  Learn about the features and architecture of the data lakehouse, along with its powerful analytical infrastructure. The data lakehouse is the next generation of the data warehouse and data lake.

• Data Hub Guide for Architects (Ken Krupa, et al.)

  What is a data hub? How does it simplify data integration? A data hub is a data store that acts as the central hub in a hub-andspoke architecture, and is powered by a multi-model database.