Course Outline

Limiting results

  • The WHERE clause
  • Comparison operators
  • LIKE Condition
  • Prerequisite BETWEEN ... AND
  • IS NULL condition
  • Condition IN
  • Boolean operators AND, OR and NOT
  • Many of the conditions in the WHERE clause
  • The order of the operators.
  • DISTINCT clause

SQL functions

  • The differences between the functions of one and multilines
  • Features text, numeric, date,
  • Explicit and implicit conversion
  • Conversion functions
  • Nesting functions
  • Viewing the performance of the functions - dual table
  • Getting the current date function SYSDATE
  • Handling of NULL values

Aggregating data using the grouping function

  • Grouping functions
  • How grouping functions treat NULL values
  • Create groups of data - the GROUP BY clause
  • Grouping multiple columns
  • Limiting the function result grouping - the HAVING clause

Subqueries

  • Place subqueries in the SELECT command
  • Subqueries single and multi-lineage
  • Operators Subqueries single-line
  • Features grouping in subquery
  • Operators Subqueries multi-IN, ALL, ANY
  • How NULL values ​​are treated in subqueries

Operators collective

  • UNION operator
  • UNION ALL operator
  • INTERSECT operator
  • MINUS operator

Further Usage Of Joins

  • Revisit Joins
  • Combining Inner and Outer Joins
  • Partitioned Outer Joins
  • Hierarchical Queries

Further Usage Of Sub-Queries

  • Revisit sub-queries
  • Use of sub-queries as virtual tables/inline views and columns
  • Use of the WITH construction
  • Combining sub-queries and joins

Analytics functions

  • OVER clause
  • Partition Clause
  • Windowing Clause
  • Rank, Lead, Lag, First, Last functions

Retrieving data from multiple tables (if time at end)

  • Types of connectors
  • The use NATURAL JOIN
  • Aliases tables
  • Joins in the WHERE clause
  • INNER JOIN
  • External Merge LEFT, RIGHT, FULL OUTER JOIN
  • Cartesian product

Aggregate Functions (if time at end)

  • Revisit Group By function and Having clause
  • Group and Rollup
  • Group and Cube

Requirements

Recommended attendance on the "Oracle SQL for Beginners" training course

 14 Hours

Number of participants



Price per participant

Testimonials (5)

Related Courses

Knowledge Discovery in Databases (KDD)

21 Hours

Developing Applications with Oracle Application Express (APEX)

21 Hours

Cluster Analysis with R and SAS

14 Hours

From Data to Decision with Big Data and Predictive Analytics

21 Hours

Data Mining and Analysis

28 Hours

Data Mining

21 Hours

Data Mining with Python

14 Hours

Data Mining with R

14 Hours

Data Vault: Building a Scalable Data Warehouse

28 Hours

Data Visualization

28 Hours

Data Mining with Excel

14 Hours

Data Mining with Weka

14 Hours

Data Mining & Machine Learning with R

14 Hours

Data Science for Big Data Analytics

35 Hours

Foundation R

7 Hours

Related Categories

1