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One important impact of the trend to corporate DBMS vendor standardization has been a consolidation in the database industry. New startup database vendors tend to pioneer new database technology and to grow by selling it to early adopters. These early adopters have helped to shape the technology and have identified the solution areas where the technology can deliver real benefits. After a few years, when the advantages of the new technology have been demonstrated, the startup vendors are acquired by large, established players. These vendors can bring the new technology into their installed base, and can bring their marketing and sales muscle to bear in an attempt to win business in their competitors accounts. The early 1990s saw this cycle play out with database vendor acquisitions of database tools vendors. In the late 1990s, the cycle repeated with acquisitions of specialized data warehousing vendors and object-relational databases. Oracle and IBM both acquired in-memory database vendors in the middle of the 2000s, and Sun acquired MySQL AG, the largest open source database vendor. Specialized data-warehousing startups appear poised to be the next targets.

(36.56)

sources for media content they wished to download, it was a disaster for content owners, since they lost control over their assets, with consumers freely and illegally copying their precious content without paying royalties. Eventually, content owners used the law to curtail the illegal peerto-peer copying of digital media assets. However, if strong encryption and rights management solutions are successfully developed, there is little to prevent content from being streamed once from the origin server, and then subsequently streamed from one consumer to another. There are a number of companies actively developing peer-to-peer replication solutions today, including vTrails, Groove, Kontiki, and Allcast. The potential exists for all the quality-ofservice advantages and bandwidth and storage cost reduction advantages that have driven the growth of edge caching to extend all the way to the individual consumer s machine, provided that broadband networks become the norm.

Despite the maturing of some parts of the database market (especially the market for corporate enterprise-class database systems), new segments and niches continue to appear. The traditional segmentation of mainframe databases (dominated by IBM), data center databases (dominated by Oracle), and workgroup databases (dominated by Microsoft) has given way to a much more diverse and dynamic segmentation. Market segments that have emerged over the last few years and that have experienced high growth include Data warehousing databases, focused on managing hundreds of terabytes of data or more, such as historical retail purchase data. Business intelligence and online analytic processing (OLAP) databases, focused on carrying out complex analyses of data to discover underlying trends (data mining), allowing organizations to make better business decisions. Mobile databases, in support of mobile workers such as salespeople, support personnel, field service people, consultants, and mobile professionals. Often, these mobile databases are tied back to a centralized database for synchronization. Embedded databases, which operate inside a closed, black box system such as a piece of manufacturing equipment or an automobile s control and entertainment system or a piece of networking equipment. These databases usually have very small footprints and require little or no administration. In-memory databases and database caches, designed for ultrahigh-performance OLTP applications such as securities trading or high-volume e-commerce sites. Clickstream databases, recording the online activity of millions of users click-byclick, so that a web site can be optimized based on actual user behavior. Clustered databases, designed to take advantage of powerful, low-cost servers used in parallel to perform database management tasks with high scalability and reliability. Streaming databases that operate on data in motion, such as data about securities trades, network traffic, or banking transactions as it passes by on a network.

Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.

Part VI:

FIGURE 36.13 Magnitude of the principal stresses on the z axis below the surface as a function of the maximum pressure for contacting cylinders. Based on a Poisson s ratio of 0.30.

In the early days of SQL-based databases, most enterprise applications that ran the day-today operations of major corporations were developed in-house by the corporate IT department Today, companies of all sizes have shifted from make to buy strategies for major enterprise applications, including ERP, supply chain, human resources, procurement, sales force automation, customer relationship management, and dozens of others Various enterprise application vendors now supply these applications as enterprise-class packaged applications, along with consulting, customization, and installation services All of these packages are built on a foundation of SQL-based relational databases The emergence of dominant purchased enterprise applications helped to accelerate the consolidation of the database market The major enterprise software package vendors tended to support DBMS products from only two or three of the major DBMS vendors.