Course Outline
Quick Recap on Table Joins, Queries, and Basic Summary Functions:
- Review the concepts of primary keys and foreign keys for maintaining data integrity.
- Differentiate between inner joins and outer joins for combining data from multiple tables.
- Understand the significance of link tables and self-joins in relational databases.
- Utilize WHERE and HAVING clauses for data filtering and conditional aggregation.
- Explore Common Table Expressions (CTEs) for defining temporary result sets.
- Incorporate sub-queries as columns within SELECT statements for advanced data manipulation.
- Master main summary functions such as COUNT, SUM, AVG, MIN, and MAX.
- Learn to group data using the GROUP BY clause and apply filtering conditions with the HAVING clause.
Extended Summary Functions:
- Explore advanced summary functions including ROLLUP, CUBE, GROUPING, and GROUPING_ID for multi-level aggregation and subtotaling.
Hierarchical Queries:
- Learn to query hierarchical data structures using the CONNECT BY PRIOR syntax.
- Understand recursive Common Table Expressions (CTEs) for handling hierarchical data relationships.
Data Densification:
- Utilize techniques such as CONNECT BY ROWNUM and recursive CTEs for data densification.
- Explore the concept of partitioned outer joins for expanding data sets.
Set Operators:
- Master set operations including UNION, UNION ALL, INTERSECT, and MINUS for combining and comparing data sets.
Analytic/Window Functions:
- Explore a variety of analytic functions for performing calculations across rows and columns.
- Learn ranking functions such as ROW_NUMBER, RANK, and DENSE_RANK for data ranking and ordering.
- Understand Lead and Lag functions for accessing data from preceding or following rows.
- Utilize percentile functions for analyzing data distribution.
Execution Plan and Indexes:
- Understand how to analyze and interpret SQL execution plans for query optimization and performance tuning.
- Explore the role of indexes in improving query performance and data retrieval efficiency.
Requirements
Participants are expected to have a basic understanding of SQL fundamentals, including table creation, data insertion, and basic query construction.
Prior experience with Oracle SQL or any other relational database management system is beneficial but not mandatory.
Familiarity with database concepts such as primary keys, foreign keys, and data normalization will be advantageous.
Testimonials (8)
Luke was opened to answer any question and explain multiple times until everyone understood the exercises.
Alexandra Popa - OTP BANK ROMANIA S.A.
Course - Oracle SQL Language
I liked that he had actual know how of when to use each technology, that's valuable.
Radu Mazilu - eMAG IT Research
Course - Which data storage to choose - from flat files, through SQL, NoSQL to massive distributed systems
I like fact, that after each section we had exercises. It helps to remember discussed topic.
Adam Bińczycki
Course - Oracle 11g - SQL language for developers - Workshop
Podczas szkolenia zostały bardzo szczegółowe - jak na dwa dni szkolenia - omówione wszystkie moduły, a na tym mi najbardziej zależało.
Bernadetta - Urząd Komisji Nadzoru Finansowego
Course - SQL Advanced
Lot of content and exactly the requested one.
Pascal - Diehl
Course - Advanced SQL, Stored Procedures and Triggers for Microsoft SQL Server
The smoothness of the training flow.
Alby Geronimo - Aarki, Inc.
Course - SQL DATABASE MANAGEMENT AND DESIGN - Bespoke
I appreciated Folio's wide breadth of knowledge. Not only was he familiar with the course content, but he also knew of constructs in languages we were familiar with to make examples more meaningful to us. During intervals he shared his knowledge of technologies and solutions outside the training scope to provide insights into other solutions we could use in future (and future training).
Raphael - Markit Valuations Limited
Course - Developing Desktop Applications with Visual Studio 2012, VB.NET and SQL Server 2012
the practices and the trainer notes