Course Outline
Extracting Data from Databases
- Syntactic rules and standards
- Retrieving all columns
- Concept of projection
- Performing arithmetic calculations in SQL
- Defining column aliases
- Handling literals
- String concatenation techniques
Refining Result Sets with Filters
- Using the WHERE clause
- Applying comparison operators
- Pattern matching with LIKE
- Range filtering with BETWEEN...AND
- Handling null values with IS NULL
- Membership testing with IN
- Logical operators: AND, OR, NOT
- Combining multiple conditions within the WHERE clause
- Understanding operator precedence
- Eliminating duplicates with the DISTINCT clause
Ordering Query Results
- Utilizing the ORDER BY clause
- Sorting by multiple columns or complex expressions
Utilizing SQL Functions
- Distinguishing between single-row and multi-row functions
- Character, numeric, and DateTime function sets
- Explicit versus implicit data conversion
- Specific conversion functions
- Nesting functions for complex logic
- The Dual table (comparing Oracle with other database systems)
- Retrieving current date and time using various functions
Aggregating Data with Aggregate Functions
- Overview of aggregate functions
- Behavior of aggregate functions with NULL values
- Grouping data with the GROUP BY clause
- Grouping by diverse column combinations
- Filtering aggregated results using the HAVING clause
- Multidimensional grouping with ROLLUP and CUBE operators
- Identifying summary rows with GROUPING
- The GROUPING SETS operator
Combining Data from Multiple Tables
- Exploring different join types
- NATURAL JOIN mechanism
- Assigning table aliases
- Oracle-specific syntax: join conditions within the WHERE clause
- SQL99 standard: INNER JOIN
- SQL99 standard: LEFT, RIGHT, and FULL OUTER JOINS
- Cartesian product: syntax in Oracle and SQL99
Employing Subqueries
- Valid contexts for using subqueries
- Differences between single-row and multi-row subqueries
- Operators for single-row subqueries
- Incorporating aggregate functions within subqueries
- Operators for multi-row subqueries: IN, ALL, ANY
Using Set Operators
- UNION operation
- UNION ALL operation
- INTERSECT operation
- MINUS/EXCEPT operations
Managing Transactions
- Using COMMIT, ROLLBACK, and SAVEPOINT statements
Exploring Other Schema Objects
- Sequences
- Synonyms
- Views
Hierarchical Queries and Examples
- Building tree structures (CONNECT BY PRIOR and START WITH clauses)
- Using the SYS_CONNECT_BY_PATH function
Conditional Expressions
- The CASE expression
- The DECODE expression
Data Management Across Time Zones
- Understanding time zones
- TIMESTAMP data types
- Distinguishing between DATE and TIMESTAMP types
- Time zone conversion operations
Analytic Functions
- Application scenarios
- Defining partitions
- Setting up windows
- Ranking functions
- Reporting functions
- LAG and LEAD functions
- FIRST and LAST functions
- Reverse percentile functions
- Hypothetical rank functions
- WIDTH_BUCKET functions
- Statistical functions
Requirements
No specific prerequisites are required to participate in this course.
Testimonials (7)
I liked the pace of the training and the level of interaction. All participants were encouraged to actively partake in discussions around exercise solutions, etc.
Aaron - Computerbits
Course - SQL Advanced level for Analysts
The trainer's efforts to make sure the less knowledgeable participants weren't being left behind.
Cian - Computerbits
Course - SQL Advanced level for Analysts
I greatly appreciated the interactive nature of the class, where the trainer actively engaged with attendees to ensure they were comprehending the material. Additionally, the trainer's excellent understanding of various database manipulation tools significantly enriched his presentations, providing a comprehensive overview of the tools' capabilities.
Kehinde - Computerbits
Course - SQL Advanced level for Analysts
Lukasz's teaching approach is far superior to traditional methods. His engaging and innovative style made the training sessions incredibly effective and enjoyable. I highly recommend Lukasz and NobleProg to anyone seeking top-notch training. The experience was truly transformative, and I feel much more confident in applying what I've learned
Adnan Chaudhary - Computerbits
Course - SQL Advanced level for Analysts
The training was incredibly interactive, making it both engaging and enjoyable. The activities and discussions effectively reinforced the material. Every necessary topic was covered thoroughly, with a well-structured and easy-to-follow format that ensured we gained a solid understanding of the subject. The inclusion of real-world examples and case studies was particularly beneficial, helping us see how the concepts could be applied in practical scenarios. Łukasz fostered a supportive and inclusive atmosphere where everyone felt comfortable asking questions and participating, which greatly enhanced the overall learning experience. His expertise and ability to explain complex topics in a simple manner were impressive, and his guidance was invaluable in helping us grasp difficult concepts. Łukasz's enthusiasm and positive energy were contagious, making the sessions lively and motivating us to stay engaged and participate actively. Overall, the training was a fantastic experience, and I feel much more confident in my abilities thanks to the excellent instruction provided.
Karol Jankowski - Computerbits
Course - SQL Advanced level for Analysts
Extremely happy with Luke as a trainer. He is very engaging and explains each topic in a way that i could understand. He was also very willing to answer questions. I would highly recommend him as a trainer going forward. I ask a LOT of questions, and Luke was always more than happy to take the time to answer them.
Paul - Computerbits
Course - SQL Advanced level for Analysts
How he explains things
