This Oracle Database: Introduction to SQL training helps you write subqueries, combine multiple queries into a single query using SET operators and report aggregated data using group functions.

Topics Covered

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 Use the SQL row limiting clause** Create queries using the PIVOT and UNPIVOT clause** Use pattern matching to recognize patterns across multiple rows in a table** 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 (Updated to "Use character, number, and date and analytical (PERCENTILE_CONT, STDDEV, LAG, LEAD) functions in SELECT statements" September 15, 2014)** 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 Use the cross_outer_apply_clause** Using Subqueries to Solve Queries Define subqueries* Describe the types of problems that subqueries can solve* Use subqueries** List the types of subqueries Write single-row and multiple-row subqueries Create a lateral inline view in a query** Using the Set Operators Describe set operators Use a set operator to combine multiple queries into 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 Truncate tables, and recursively truncate child tables** Use 12c enhancements to the DEFAULT clause, invisible columns, virtual columns and identity columns in table creation/alteration** Creating Other Schema Objects Create simple and complex views (Updated to "Create simple and complex views with visible/invisible columns on September 15, 2014)** 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 (Updated to Grant privileges on tables and on a user on September 15, 2014)** View privileges in the data dictionary Grant roles Distinguish between privileges and roles Managing Schema Objects Add constraints Create indexes (Updated to "Create and maintain indexes including invisible indexes and multiple indexes on the same columns" on September 15, 2014)** 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 Use explicit default values in INSERT and UPDATE statements** 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 TZ_OFFSET FROM_TZ TO_TIMESTAMP TO_TIMESTAMP_TZ TO_YMINTERVAL TO_DSINTERVAL CURRENT_DATE CURRENT_TIMESTAMP LOCALTIMESTAMP DBTIMEZONE SESSIONTIMEZONE EXTRACT 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 Use Meta Characters Regular Expression Functions Use Replacing Patterns Use Regular Expressions and Check Constraints

Who should attend

Data Warehouse Administrator Developer Application Developers PL/SQL Developer Forms Developer System Analysts Business Analysts

Pre-requisites

Nothing

What you need to bring

Nothing

Key Takeaways

Ensure fast, reliable, secure and easy to manage performance. Optimize database workloads, lower IT costs and deliver a higher quality of service by enabling consolidation onto database clouds. This course will help you understand the advanced features of SQL. Learning these features will help you query and manipulate data within the database, use the dictionary views to retrieve metadata and create reports about their schema objects. Some of the date-time functions available in the Oracle Database are also covered. This course also discusses how to use the regular expression support in SQL through expert instruction.