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Oracle Database SQL Certified Expert

Course Length: 3 days
Certifications: Oracle 10g SQL Expert
Number of Exams: 1

Class Schedule
06/10/19 - 06/12/19


08/05/19 - 08/07/19


  • Hands-on instruction by a certified instructor
  • Includes all course materials
  • On-site Testing
  • Lunch & Snacks provided each day
  • Oracle Database SQL Certified Experts demonstrate the complete set of skills required for working with the powerful SQL programming language and have mastered the key concepts of a relational database. SQL Experts understand how to use the advanced features of SQL in order to query and manipulate data within the database, control privileges at the object and system level, and use advanced querying and reporting techniques. They are able to manipulate large data sets and understand storing and retrieving dates according to different time zones. They are also knowledgeable about the concepts of controlling access and privileges for schema objects.

    Exam 1Z0-071 - Oracle Database SQL Expert

    Course Outline

    Retrieving Data Using the SQL SELECT Statement
    • List the capabilities of SQL SELECT statements
    • Execute a basic SELECT statement
    • Describe how schema objects work
    Restricting and Sorting Data
    • Limit the rows that are retrieved by a query
    • Sort the rows that are retrieved by a query
    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
    Creating Other Schema Objects
    • Create simple and complex views
    • Retrieve data from views
    • 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 the following types of multitable INSERTs (Unconditional, Conditional and Pivot)
    • Merge rows in a table
    • Track the changes to data over a period of time
    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 is your best choice for Oracle 10g SQL, Oracle 10g SQL training, Oracle 10g SQL certification, Oracle 10g SQL certification boot camp, Oracle 10g SQL boot camp, Oracle 10g SQL certification training, Oracle 10g SQL boot camp training, Oracle 10g SQL boot camp certification, Oracle 10g SQL certification course, Oracle 10g SQL course, training Oracle 10g SQL, certification Oracle 10g SQL, boot camp Oracle 10g SQL, certification Oracle 10g SQL boot camp, certification Oracle 10g SQL training, boot camp Oracle 10g SQL training, certification Oracle 10g SQL course.

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