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Course Outline

Extracting Data from Databases

  • Syntax conventions
  • Retrieving all columns
  • Projection concepts
  • Performing arithmetic operations in SQL
  • Using column aliases
  • Working with literals
  • String concatenation

Filtering Result Sets

  • Implementing the WHERE clause
  • Utilizing comparison operators
  • Applying the LIKE condition
  • Using the BETWEEN...AND condition
  • Handling NULL values with IS NULL
  • Filtering with the IN condition
  • Logical operators: AND, OR, NOT
  • Combining multiple conditions in the WHERE clause
  • Operator precedence
  • Eliminating duplicates with the DISTINCT clause

Ordering Result Sets

  • Using the ORDER BY clause
  • Sorting by multiple columns or expressions

SQL Functions

  • Distinguishing between single-row and multi-row functions
  • Character, numeric, and DateTime functions
  • Explicit and implicit type conversion
  • Conversion functions
  • Nesting functions
  • The Dual table (differences in Oracle vs. other databases)
  • Retrieving current date and time using various functions

Aggregating Data with Aggregate Functions

  • Core aggregate functions
  • Handling NULL values in aggregations
  • The GROUP BY clause
  • Grouping by different columns
  • Filtering aggregated results with the HAVING clause
  • Multidimensional grouping using ROLLUP and CUBE operators
  • Identifying summary rows with GROUPING
  • Using the GROUPING SETS operator

Querying Multiple Tables

  • Various types of joins
  • NATURAL JOIN
  • Defining table aliases
  • Oracle legacy syntax (join conditions in WHERE clause)
  • SQL99 syntax: INNER JOIN
  • SQL99 syntax: LEFT, RIGHT, and FULL OUTER JOINs
  • Cartesian products in Oracle and SQL99 syntax

Subqueries

  • Placement and usage of subqueries
  • Single-row and multi-row subqueries
  • Operators for single-row subqueries
  • Incorporating aggregate functions within subqueries
  • Multi-row subquery operators: IN, ALL, ANY

Set Operators

  • UNION
  • UNION ALL
  • INTERSECT
  • MINUS/EXCEPT

Transactions

  • Managing data integrity with COMMIT, ROLLBACK, and SAVEPOINT statements

Additional Schema Objects

  • Sequences
  • Synonyms
  • Views

Hierarchical Queries and Sampling

  • Building tree structures using CONNECT BY PRIOR and START WITH clauses
  • The SYS_CONNECT_BY_PATH function

Conditional Expressions

  • Using the CASE expression
  • Using the DECODE expression

Managing Data Across Time Zones

  • Time zone concepts
  • TIMESTAMP data types
  • Distinguishing between DATE and TIMESTAMP
  • Conversion operations

Analytic Functions

  • Application and usage
  • Data partitions
  • Window definitions
  • Ranking functions
  • Reporting functions
  • LAG/LEAD functions
  • FIRST/LAST functions
  • Reverse percentile functions
  • Hypothetical rank functions
  • WIDTH_BUCKET functions
  • Statistical functions

Requirements

No prior specific requirements are necessary to participate in this course.

 21 Hours

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
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