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  1. 1. Introduction: Basics of Database Administration 1-2 Objectives After completing this chapter, you should be able to: • enumerate tasks of the database administrator. • create users in Oracle. • explain the structure of the Oracle Data Dictionary. • formulate queries against data dictionary tables.

  2. This introduction to database systems offers a comprehensive approach, focusing on database design, database use, and implementation of database applications and database management systems. KEY TOPICS: The first half of the book provides in-depth

  3. The data administrator is now one of the key persons involved in the development of databased information systems. We also describe some of the key functions of the database administrator, particularly the development of views and granting data and facilities privileges to users via some DBMS.

  4. 10 wrz 2010 · A database is a collection of structured data. A database captures an abstract representation of the domain of an application. Typically organized as “records” (traditionally, large numbers, on disk) and relationships between records. This class is about database management systems (DBMS): systems for cre ating, manipulating, accessing a database.

  5. A Database Management System (DBMS) is a software package designed to store and manage databases. Why Use a DBMS? Data independence and efficient access — You. don’t need to know the implementation of the database to access data; queries are optimized. Reduced application development time —

  6. A data model is a collection of concepts for describing data. A schema is a description of a particular collection of data, using the a given data model. The relational model of data is the most widely used model today. Main concept: . relation, basically a table with rows and columns.

  7. There are two new chapters on recent advances in database systems and big data processing; one new chapter (Chapter 24) covers an introduction to the newer class of database systems known as NOSQL databases, and the other new chapter (Chapter 25) covers technologies for processing big data, including MapReduce and Hadoop.

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