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Developing SQL Queries for Oracle Databases: Hands-On - An Advanced Workshop

Fee:

$2,890

· QuickCode:

QQAFMZ

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Provider:
Learning Tree International

Topic(s):
Computers & Software > Data Base

Who Should Attend?
Consultants, engineers, developers, analysts and others who are developing systems using Oracle databases. Course 590, "Oracle9i Introduction," or Course 593, "Oracle Database 10g Introduction," or equivalent knowledge is assumed.

Full Seminar Description

You will learn how to

• Formulate complex queries with Oracle SQL and SQL*Plus
• Apply the full range of complex query types
• Use the analytic OLAP functions of Oracle
• Select the best query method for each application requirement
• Test SQL queries completely
• Select the most efficient solution to complex SQL problems
• Choose between Oracle and ANSI style joins

Course benefits

In this course, you learn to use the full potential of SQL to write complex queries for Oracle databases. You also learn how to choose the best query method for each application and test queries to ensure accuracy and avoid common errors and pitfalls.

Who should attend

Hands-on training

• Handling NULL values in expressions and conditions
• Joining multiple tables with ANSI standard or native Oracle syntax
• Manipulating character strings
• Applying CASE and DECODE to simulate IF...THEN...ELSE
• Producing statistics and aggregate results
• Choosing between correlated and uncorrelated subqueries
• Updating tables with subquery results
• Embedding subqueries in expressions
• Using CONNECT BY to traverse hierarchies

Course content

• The uses of SQL queries
• SQL's central role
• Why SQL can be both easy and difficult
• Enhancing query performance
• Query optimization
• Choosing the best query method

USING ADVANCED SQL FUNCTIONS TO BUILD QUERIES

• Aggregate functions
• Grouping in several levels
• Grouping and NULLs
• CUBE and ROLLUP
• Performance and grouping
• Single-row functions
• String manipulation functions
• Simulating IF...THEN...ELSE with functions
• Handling regular expressions with Oracle 10g functions

PERFORMING EXTENSIVE ANALYSIS WITH ANALYTIC FUNCTIONS

• Calculating ranks
• RANK and DENSE_RANK
• ROW_NUMBER depending on ORDER BY
• Calculating percentiles
• Extending the use of aggregates
• Partitioning in multiple levels
• Computing running totals
• Comparing row and aggregate values
• Defining sliding window boundaries
• By row number
• By value
• By time interval

DEVELOPING COMPLEX JOINS

• Using inner and outer joins
• Building multiple table joins
• When to use theta joins
• Grouping and joins
• Joins and performance
• How and when to use self-joins
• Joining a table to itself
• Implementing recursive self-joins with CONNECT BY
• CONNECT BY and join simultaneously
• Oracle 10g enhancements to CONNECT BY
• Applying the ANSI standard join syntax
• INNER JOIN
• CROSS JOIN
• LEFT, RIGHT and FULL OUTER JOIN
• Subtle differences between new ANSI and old Oracle style
• Using the set operators
• UNION
• INTERSECT
• MINUS

BUILDING SUBQUERIES

• Non-correlated subqueries
• Subqueries in several levels
• Subqueries that return NULL
• Multiple row subqueries
• Using correlated subqueries
• Fetching main query values
• The EXISTS operator
• Subqueries in updates
• Subqueries in the FROM clause
• Breaking up a complex problem into manageable pieces
• Factoring subqueries for reusability
• An alternative to views
• Subqueries as expressions
• Subqueries in the column list
• Correlated and non-correlated subqueries in expressions

USING VIEWS AND TEMPORARY TABLES

• Overcoming obstacles with views
• Multiple group levels in one query
• How views impact performance
• Temporary tables as alternatives to views
• Avoiding interference from other users
• Tailoring temporary tables

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Sponsor Background:

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