SQL language for data analysts in an Oracle

⏰ 3 days (24 training hours) of practical Terraform training

Live online course with interactive exercises and real-life business data.

Expert Technical Instruction: Master the theory with concise, expert-led mini-lectures.
Real-World Application: Immediately practice your new skills with hands-on exercises based on actual workplace examples.
Job-Ready Skills: This integrated format ensures you leave with practical skills you can use at work the very next day.

Official training certificate issued upon course completion.

Check available dates and register via this form.

The “SQL Language for Data Analysts in Oracle Environment - advanced level” course is dedicated to advanced data analysts who want to take their data analysis skills to an even higher level. With the expertise of Comarch Training Center experts, you will learn techniques for extracting information and learn how to perform complex data analysis.

During the training, the participant will acquire knowledge of the operation of advanced mechanisms available
in the Oracle environment responsible for searching and analyzing data. The participant will master skills in
extensions of multidimensional aggregations, cases of the complex use of analytical functions, division of
complex queries, regular expressions, data rearrangement and data modeling. The knowledge and skills
imparted during the training on the new options and solutions included in Oracle Server 12c, including pattern
matching, determining the scope of data presented, as well as new options for joining tables, are particularly
important. There is also valuable information on increasing command performance, including the use of
materialized views.

As a result of the training, the participant will:

Execute complex queries to display data based on various merge options,
Execute hierarchy-based reports using hierarchical queries,
Create reports with complex multi-level aggregations, using Rollup and Cube clauses,
Apply regular expressions in advanced data mining and processing,
Utilize analytical functions for advanced operation on data sets and windows trailing, neighboring rows
Apply data modeling using Model clause and dimensions, measures and partitions
Perform pattern matching queries, searching for specific sets of values
Optimize queries by selecting appropriate query constructs and creating materialized views.

The course is intended for participants who perform analytical operations or create reports in the Oracle
environment. The training is aimed to everyone who needs to perform complex data analysis in databases and
make business decisions based on it.

Participants are required to have successfully completed the course "SQL Language for Data Analysts in Oracle
Environment" or to know the material covered in this course

The training is conducted in the form of consecutive training sessions divided into modules. The training module
includes theoretical part explaining a given issue, collective and individual exercises solved by the participant,
as well as a block of questions and answers.

3 days, 24 training hours

Introducing the objectives and scope of the training
Multidimensional clustering
Rollup and Cube
Advanced result analysis
Complex filtering of results
Analytical functions:
• Application of analytical functions
• Advanced examples
• Nesting of results
The With clause (Subquery Factoring)
• Concept of usage
• Applications
New extensions in joining tables
• Cross Apply
• Outer Apply
• Lateral
Data rearrangement - Pivot
• The idea of data pivoting
• Pivoting based on multiple columns
• Using several aggregate functions in pivoting
• Using the UNPIVOT clause
Querying a specific number of rows
• Using the Fetch First clause
• Accessing sequential data sets
• Using the Percent clause
• Using the With Ties clause
Data modeling (Model clause)
• Retrieving the current value of a dimension
• Modifying existing cells
• Accessing cells using loops
• Modifying existing cells
Regular expressions
• Functions of regular expressions
• Regexp_like
• Special symbols
• Classes of characters
• Applications of functions
• Finding and substitution
• Cutting
• Counting
Pattern Matching
• Idea and usage
• Query structure
• Construction of the Match_recognize clause
• Operators
• Finding patterns with different characteristics
• Use of regular expressions
Views
• Idea and applications
• Command syntax
• Examples of use
• Materialized views
• Idea and applications
• Command syntax
• Examples of use
Query performance
• Syntax selection
• Best practices
Recapping the material on key operations in SQL
Independent exercise across different areas
Additional questions from participants
A summary of the training
Test
Survey

SQL language for data analysts in an Oracle environment

SQL language for data analysts in an Oracle environment - advanced level

Optimize queries by selecting appropriate query constructs and creating materialized views!

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