Professioneller Einstieg in Oracle Database SQL IT 9645

Seminarinhalt

Introducing Oracle Database

  • List the features of Oracle Database
  • Discuss the basic design, theoretical and physical aspects of a relational database
  • Categorize the different types of SQL statements
  • Describe the data set used by the course
  • Log onto the database using the SQL Developer environment
  • Save queries to files and use script files in SQL Developer

Retrieving Data Using the SQL SELECT Statement

  • List the capabilities of SQL SELECT statements
  • Generate a report of data from the output of a basic SELECT statement
  • Select All Columns
  • Select Specific Columns
  • Use Column Heading Defaults
  • Use Arithmetic Operators
  • Understand Operator Precedence
  • Learn the DESCRIBE command to display the table structure

Restricting and Sorting Data

  • Write queries that contain a WHERE clause to limit the output retrieved
  • List the comparison operators and logical operators that are used in a WHERE clause
  • Describe the rules of precedence for comparison and logical operators
  • Use character string literals in the WHERE clause
  • Write queries that contain an ORDER BY clause sort the output of a SELECT statement
  • Sort output in descending and ascending order

Using Single-Row Functions to Customize Output

  • Describe the differences between single row and multiple row functions
  • Manipulate strings with character function in the SELECT and WHERE clauses
  • Manipulate numbers with the ROUND, TRUNC and MOD functions
  • Perform arithmetic with date data
  • Manipulate dates with the date functions

Using Conversion Functions and Conditional Expressions

  • Describe implicit and explicit data type conversion
  • Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions
  • Nest multiple functions
  • Apply the NVL, NULLIF, and COALESCE functions to data
  • Use conditional IF THEN ELSE logic in a SELECT statement

Reporting Aggregated Data Using the Group Functions

  • Use the aggregation functions in SELECT statements to produce meaningful reports
  • Create queries that divide the data in groups by using the GROUP BY clause
  • Create queries that exclude groups of date by using the HAVING clause

Displaying Data From Multiple Tables Using Joins

  • Write SELECT statements to access data from more than one table
  • View data that generally does not meet a join condition by using outer joins
  • Join a table by using a self join

Using Sub-queries to Solve Queries

  • Describe the types of problem that sub-queries can solve
  • Define sub-queries
  • List the types of sub-queries
  • Write single-row and multiple-row sub-queries

Using the SET Operators

  • Describe the SET operators
  • Use a SET operator to combine multiple queries into a single query
  • Control the order of rows returned when using the SET operators

Manipulating Data

  • Describe each DML statement
  • Insert rows into a table with the INSERT statement
  • Use the UPDATE statement to change rows in a table
  • Delete rows from a table with the DELETE statement
  • Save and discard changes with the COMMIT and ROLLBACK statements
  • Explain read consistency

Using DDL Statements to Create and Manage Tables

  • Categorize the main database objects
  • Review the table structure
  • List the data types available for columns
  • Create a simple table
  • Decipher how constraints can be created at table creation
  • Describe how schema objects work

Creating Other Schema Objects

  • Create a simple and complex view
  • Retrieve data from views
  • Create, maintain, and use sequences
  • Create and maintain indexes
  • Create private and public synonyms

Controlling User Access

Managing Schema Objects

Managing Objects with Data Dictionary Views

Manipulating Large Data Sets

Managing Data in Different Time Zones

Retrieving Data Using Sub-queries

Regular Expression Support

Zielgruppe

Entwickler, Businessanalytiker, Systemanalytiker, Data Warehouse-Administrator, PL/SQL-Entwickler, Formsentwickler

Voraussetzungen

Kenntnisse der Datenverarbeitung und deren Konzepte

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