SQL Advanced

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About Course

Senior SQL Developers are in high demand and demand 100k+ salary in the IT industry.

If we have to advance in our career and earn a good salary, we need these Advanced Structured Query Language skills. So let’s take the next step of learning these advanced concepts of Oracle SQL.

Learning these advanced Structured Query Language concepts would position you better in your working environment.

What will we learn?

Students will learn the art of breaking a big SQL statement into small pieces and rebuild it again.

Create Materialized views to replicate data across servers and improve performance by using simple Structured Query Language syntax.

Partition the tables for better management and performance optimization using Structured Query Language Partitioning.

Students will learn to use the Analytic Structured Query Language to aggregate, analyze and report, and model data using the Structured Query Language Analytic capabilities.

Students will learn to interpret the concept of a hierarchical query, create a tree-structured report, format hierarchical data, and exclude branches from the tree structure using SQL Hierarchical features.

Students will also learn to use regular expressions and subexpressions to search for, match, and replace strings using Structured Query Language built-in functions.

Group and aggregate data using the built-in Structured Query Language functions like ROLLUP and CUBE operators.

See you inside,

 

Who this course is for:

  1. This SQL course is meant for students who already have familiarity with the Structured Query Language syntax and would like to learn the advanced concepts of SQL.
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What Will You Learn?

  • Understand the key advance concepts being implemented in the database world
  • Choose between Views and Materialized views based on the requirement
  • Partition the tables for better management and performance optimization
  • Perform complex pattern matching using Regular Expressions
  • Create advanced reports with sub totals at various grouping levels
  • Perform analysis with ease using the analytical functions

Course Content

SQL Querying: Advanced

  • Welcome to the course
    00:00
  • Installing Oracle
    00:00
  • Installing Java SDK
    00:00
  • Installing SQL Developer
    00:00
  • Running scripts necessary for the course
    00:00
  • Default values for columns
    00:00
  • Virtual Columns
    00:00
  • Arithmetic calculations on NULL Values
    00:00
  • Multi table Inserts
    00:00
  • Merge the data
    00:00
  • Analytical Functions Introduction
    00:00
  • Why Analytical Functions Example 1
    00:00
  • Why Analytical Functions Example 2
    00:00
  • Getting the cummulative Sum of Sales
    00:00
  • Displaying Sales as a percentage of Total sales
    00:00
  • Ranking your data
    00:00
  • Performing Top N Analysis
    00:00
  • Dividing your data into Bands
    00:00
  • LAG and LEAD function Examples
    00:00
  • Analyzing Sales growth across time
    00:00
  • Row level data to Column level using CASE statement
    00:00
  • Row level data to Column level using PIVOT
    00:00
  • Row level data to Column level using LISTAGG
    00:00
  • Column level data to Row level using UNION
    00:00
  • Column level data to Row level using UNPIVOT
    00:00
  • Hierarchical Queries Introduction
    00:00
  • Connect By clause
    00:00
  • Creating the Hierarchy Tree
    00:00
  • Sorting the Hierarchy Tree
    00:00
  • CONNECT BY ROOT unary operator
    00:00
  • Get me the Sales under Manager Raj
    00:00
  • SYS CONNECT BY PATH function
    00:00
  • CONNECT BY for number generation
    00:00
  • Extensions to Group BY
    00:00
  • Sub Totals using ROLLUP function
    00:00
  • Sub Totals using CUBE function
    00:00
  • GROUPING function
    00:00
  • GROUPING ID function
    00:00
  • Limiting number of sub totals using GROUPING SETS function
    00:00
  • Composite Columns
    00:00
  • Table Partitioning Introduction
    00:00
  • Range Partition based on range of values
    00:00
  • List Partition based on list of values
    00:00
  • Hash Partition based on the hash key
    00:00
  • Composite Partitioning by mixing things up
    00:00
  • Interval Partition for automatic partition creation
    00:00
  • Materialized Views Introduction
    00:00
  • Materialized Views creation Options
    00:00
  • Materialized Views with ON COMMIT option
    00:00
  • Materialized Views with ON DEMAND option
    00:00
  • Materialized Views with REFRESH FAST option
    00:00
  • Timing the refresh
    00:00
  • Query Rewrite functionality
    00:00
  • Regular Expressions Introduction
    00:00
  • Meta Characters and
    00:00
  • Meta Characters and
    00:00
  • Interval Operator to match the number of occurances
    00:00
  • Matching the characters in a List
    00:00
  • Lets combine multiple expressions using
    00:00
  • Check for an expression in the beginning or end of a string
    00:00
  • POSIX Character class operators
    00:00
  • Search for meta characters by placing a escape character
    00:00
  • Flashback operations Introduction
    00:00
  • Tracking changes in Data
    00:00

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