By Paul Crowther, Peter Lake
Smooth companies depend upon information for his or her very survival, making a desire for stylish databases and database applied sciences to assist shop, organise and delivery their necessary data.
This easy-to-read textbook/reference provides a accomplished advent to databases, establishing with a concise historical past of databases and of knowledge as an organisational asset. As relational database administration platforms aren't any longer the one database resolution, the publication takes a much wider view of database expertise, encompassing monstrous info, NoSQL, item and object-relational, and in-memory databases. The textual content additionally examines the problems of scalability, availability, functionality and protection encountered whilst construction and operating a database within the genuine world.
Topics and features:
* provides evaluate and dialogue questions on the finish of every bankruptcy, as well as skill-building, hands-on exercises
* Introduces the elemental thoughts and applied sciences in database structures, putting those in an ancient context
* Describes the demanding situations confronted via database professionals
* stories using a number of database forms in enterprise environments
* Discusses parts for extra examine inside of this fast-moving domain
* indicates a constitution for a possible college path within the preface
With its learning-by-doing process, supported via either theoretical and useful examples, this clearly-structured textbook should be of serious price to complicated undergraduate and postgraduate scholars of laptop technology, software program engineering, and data know-how. practicing database pros and alertness builders also will locate the e-book an excellent reference that addresses today's enterprise wishes.
Read or Download Concise Guide to Databases: A Practical Introduction (Undergraduate Topics in Computer Science) PDF
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Extra info for Concise Guide to Databases: A Practical Introduction (Undergraduate Topics in Computer Science)
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Since only one program could be loaded and run at a time with these systems demand for computer time grew rapidly. As well as data processing time was needed to develop, compile and test new computer programmes. Ultimately many computer systems were being scheduled for up to 24 hours a day, 7 days a week. There were also very strict rules on tape storage so if a master tape were corrupted it could be recreated by using archived old masters and the transaction tapes. If there were any issues with one of the transactions, it would not be processed, but would be copied to an exception file on another tape.
12 Data Warehouse 31 Fig. 6 Star schema A data warehouse is a central repository of data in an organisation storing historical data and being constantly added to by current transactions. The data can be analysed to produce trend reports. It can also be analysed using data mining techniques for generating strategic information. Unlike data in a relational database, data in a data warehouse is organised in a de-normalised format. There are three main formats: • Star schema: tables are either fact tables which record data about specific events such as a sales transaction and dimension tables which information relating to the attributes in the fact table (Fig.