SQL language for data analysts in an Oracle environment

Advanced level
    Start hour

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

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

      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.

      Full programm

      Training objectives

      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.
      Audience profile

      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.


      3 days, 24 training hours

      Training delivery method

      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.

      Theoretical and practical knowledge

      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


      • 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

      Development path

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      Our trainers

      • Krzysztof Czajkowski 

        He has several years of teaching and training experience, the main area of ​​training specialization is the application and administration of the Oracle database. He also teaches PostreSQL, MySQL and SQL syntax in MS SQL Server databases.


        Sylwester Woźniak
        Sylwester Woźniak


        +48 12 687 78 11

        +48 608 646 465