Certification Exam Preparation Seminar: Oracle Database SQL; Training-on-Demand



  • Data Warehouse-Administrator
  • Datenbankdesigner
  • Datenbankadministratoren
  • Entwickler
  • Formsentwickler
  • PL/SQL-Entwickler


Empfohlene Vorkenntnisse:

  • Foundational knowledge of SQL


  • Learn from one of Oracle University's top instructors
  • Review key technology and certification concepts related to Oracle's SQL certification exams
  • Prepare for your SQL certiifcation exam
  • Get information that will help you complete your preparation and study
  • Get information and tips that will help you prepare
  • Understand the breadth of the SQL certication exams


This video seminar – Certification Exam Preparation Seminar: Oracle Database SQL will help you preparate to take any of the following Oracle Database certification exams:

  • Oracle Database SQL Expert (exam number 1Z0-047)
  • Oracle Database 11g: SQL Fundamentals I (exam number 1Z0-051)
  • Introduction to Oracle9i SQL (exam number 1Z0-007)

Learn To:

  • Follow strategies that will help you be successful on the exam.
  • Perform a skills & knowledge gap analysis that will help guide the balance of your study (included in the bonus materials).
  • Manipulate data in the Oracle Database (by review).
  • Solve queries using subqueries.
  • Restrict and sort data (by review).
  • Create a customized study plan (included in bonus materials).

OCA Level Certification

Become ready to take and pass one of the required exams for Oracle Database OCA level certification (see the Oracle Certification website for more information). Led by one of our Oracle Database expert instructors, this fast-paced video-based seminar will increase your confidence by giving you exclusive tips and strategies to prepare you for the certification exam.

Develop an Oracle SQL Foundation

This Exam Preparation Seminar is intended to help those with a solid foundation in Oracle SQL. It provides a thorough review of the exam objectives, while helping you understand the breadth of topics and skills required to pass the exams listed above.

Exam Preparation Seminar Format

Exam Preparation Seminars are fast-paced video-based reviews that include slides, lecture and in some cases, simple demos. Exam Prep Seminars do not include: an Oracle University eKit, expert video, labs, student environment, simulations or student Q&A. This seminar does not meet the hands-on course requirement (if applicable to your certification track).

Available for Repeated Review

This seminar may be accessed for repeated review as needed during subscription term.

Course subjects

SQL SELECT Statement

  • Retrieving Data
  • List the capabilities
  • Execute a basic SELECT statement
  • Differentiate between SQL statements and iSQL*Plus commands

Restricting and Sorting Data

  • Limit the rows that are retrieved by a query
  • Sort the rows that are retrieved by a query
  • Use ampersand substitution in iSQL*Plus to restrict and sort output at run time

Using Single-Row Functions to Customize Output

  • Describe various types of functions that are available in SQL
  • Use character, number, and date functions in SELECT statements
  • Describe the use of conversion functions

Reporting Aggregated Data Using the Group Functions

  • Identify the available group functions
  • Describe the use of group functions
  • Group data by using the GROUP BY clause
  • Include or exclude grouped rows by using the HAVING clause

Displaying Data from Multiple Tables

  • Write SELECT statements to access data from more than one table using equijoins and nonequijoins
  • Join a table to itself by using a self-join
  • View data that generally does not meet a join condition by using outer joins
  • Generate a Cartesian product of all rows from two or more tables

Using Subqueries to Solve Queries

  • Define subqueries
  • Describe the types of problems that subqueries can solve
  • List the types of subqueries
  • Write single-row and multiple-row subqueries

Using the Set Operators

  • Describe set operators
  • Use a set operator to combine multiple a single query
  • Control the order of rows returned

Manipulating Data

  • Describe each data manipulation language (DML) statement
  • Insert rows into a table
  • Update rows in a table
  • Delete rows from a table
  • Control transactions

Using DDL Statements to Create and Manage Tables

  • Categorize the main database objects
  • Review the table structure
  • List the data types that are available for columns
  • Create a simple table
  • Explain how constraints are created at the time of table creation
  • Describe how schema objects work
  • Drop, rename and truncate tables

Creating Other Schema Objects

  • Create simple and complex views
  • Retrieve data from views
  • Insert, update and delete data through a view
  • Alter the definition, and drop a view
  • Create, maintain, and use sequences
  • Create and maintain indexes
  • Create private and public synonyms

Managing Objects with Data Dictionary Views

  • Use the data dictionary views to research data on your objects
  • Query various data dictionary views

Controlling User Access

  • Differentiate system privileges from object privileges
  • Grant privileges on tables
  • View privileges in the data dictionary
  • Grant roles
  • Distinguish between privileges and roles

Managing Schema Objects

  • Add constraints
  • Create indexes
  • Create indexes using the CREATE TABLE statement
  • Creating function-based indexes
  • Drop columns and set column UNUSED
  • Perform FLASHBACK operations
  • Create and use external tables

Manipulating Large Data Sets

  • Manipulate data using subqueries
  • Describe the features of multitable INSERTs
  • Use multiple types of INSERTs
  • Merge rows in a table

Generating Reports by Grouping Related Data

  • Use the ROLLUP operation to produce subtotal values
  • Use the CUBE operation to produce crosstabulation values
  • Use the GROUPING function to identify the row values created by ROLLUP or CUBE
  • Use GROUPING SETS to produce a single result set

Managing Data in Different Time Zones

  • Use Various datetime functions

Retrieving Data Using Subqueries

  • Write a multiple-column subquery
  • Use scalar subqueries in SQL
  • Solve problems with correlated subqueries
  • Update and delete rows using correlated subqueries
  • Use the EXISTS and NOT EXISTS operators
  • Use the WITH clause

Hierarchical Retrieval

  • Interpret the concept of a hierarchical query
  • Create a tree-structured report
  • Format hierarchical data
  • Exclude branches from the tree structure

Regular Expression Support

  • Using Meta Characters
  • Regular Expression Functions
  • Replacing Patterns
  • Regular Expressions and Check Constraints

Producing Readable Output with iSQL*Plus

  • Produce queries that require a substitution variable
  • Produce more readable output
  • Create and execute script files
Preis (exkl. MwSt.)
  • 670,- €