Transact SQL Advanced Training Course

This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level database administrators, developers, and analysts who wish to master advanced SQL functionalities for complex data operations and database management.

By the end of this training, participants will be able to:

• Perform advanced querying techniques using unions, subqueries, and complex joins.
• Add, update, and delete data, tables, views, and indexes with precision.
• Ensure data integrity through transactions and manipulate database structures.
• Create and manage databases efficiently for robust data storage and retrieval.

AI for SQL applies artificial intelligence and large language models (LLMs) to automate, enhance, and optimise how SQL queries are generated, executed, and interpreted within enterprise data environments.

This instructor-led live training (delivered online or on-site) is designed for intermediate-level data engineers and technical leads seeking to integrate AI capabilities into SQL workflows to enable natural language querying, intelligent optimisation, and automated data analysis.

Upon completion of this training, participants will be able to:

• Integrate LLMs, including GPT, DeepSeek, LLaMA, Qwen, and Mistral, into SQL environments.
• Construct natural-language-to-SQL pipelines for conversational data access.
• Implement AI-driven query optimisation and error detection.
• Design secure, auditable AI-SQL workflows suitable for enterprise use.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Customisation Options

• To request a tailored training session for this course, please contact us to arrange.

This instructor-led, live training session Australia (online or on-site) is designed for intermediate-level database administrators, SQL developers, and data analysts who wish to enhance their SQL skills by mastering the use of Analytic Functions.

Upon completion of this training, participants will be able to:

• Grasp the core concepts and significance of Analytic Functions.
• Utilise a range of Analytic Functions to address complex analytical challenges.
• Integrate Analytic Functions with other SQL features for thorough data analysis.
• Optimise query performance through the strategic use of Analytic Functions.

 SQL Database Management and Design equips practitioners with advanced techniques for building relational databases from foundational queries to schema design. Covers core principles of SQL query commands, union operations, aggregation functions, and entity relationship modeling. Examines proven methods for multi-table joins, transaction management, and ACID properties. Helps professionals normalize tables, optimize data selection, and design robust database architectures for reliable information systems.

This course is designed to give participants a comprehensive understanding of how to utilise SQL across various database systems (such as Oracle, SQL Server, and MS Access). By mastering analytic functions and the methods for joining tables, attendees will learn to perform data analysis directly within the database rather than relying on MS Excel. This approach also supports the development of any IT system that utilises a relational database.

SQL is a standard language used for accessing and manipulating databases.

This instructor-led, live training (online or onsite) is aimed at beginner-level users who wish to understand and use SQL for data querying and reporting.

By the end of this training, participants will be able to:

• Understand the structure of relational databases.
• Write basic SQL statements to retrieve, filter, and sort data.
• Use aggregate functions to summarize data.
• Perform basic joins between multiple tables.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Australia (online or onsite) is designed for beginner to intermediate data analysts, database professionals, and software developers who wish to learn SQL for effective database management.

Upon completion of this training, participants will be able to:

• Comprehend and utilise fundamental SQL commands and queries.
• Create and manipulate tables and databases.
• Utilise SQL to sort, filter, and summarise data.
• Execute more complex operations such as joins, subqueries, and set operations.
• Apply intermediate techniques including indexes, views, stored procedures, and triggers.

This instructor-led, live training in Australia (online or onsite) is aimed at beginners, programmers, and database administrators who wish to learn or improve their SQL development skills and knowledge.

By the end of this training, participants will be able to install, create, manage, manipulate, and monitor databases using SQL and database management systems.

SQL is a standardised language used to query, manipulate, and manage data within relational database systems.

This instructor-led, live training (online or onsite) is aimed at beginner-level to advanced-level users who wish to build efficient SQL queries and work confidently with relational databases.

By the end of this training, participants will gain the skills to:

• Construct SQL queries to retrieve, filter, and sort data.
• Manipulate data using insert, update, and delete operations.
• Create joins, subqueries, and aggregated reports.
• Apply advanced SQL techniques for real-world data analysis.

Format of the Course

• Instructor-led lectures combined with guided discussions.
• Hands-on query building and practical exercises.
• Live-lab demonstrations using real datasets.

Course Customization Options

• If you require a tailored SQL program for your organisation, please contact us to arrange.

This SQL training course is designed for individuals seeking to acquire the essential skills to extract, analyse, and report on data from any database. Participants will learn:

• how to construct SQL queries
• the nature of relational databases and how to utilise them
• what relations are and how to establish them
• data structures
• the distinctions between various SQL dialects (Oracle, T-SQL, ANSI)
• practical techniques for writing queries

This course focuses on generic ANSI SQL, which is compatible with any relational database system, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and others.

SQL is a robust language designed for managing and analysing structured data within relational databases.

This instructor-led, live training (available online or onsite) is tailored for intermediate-level users looking to enhance their SQL capabilities for complex querying, data manipulation, and performance optimisation.

Upon completion of this training, participants will be able to:

• Compose complex SQL queries employing advanced joins and subqueries.
• Manipulate data using INSERT, UPDATE, and DELETE commands.
• Utilise window functions for advanced analytics.
• Optimize queries to achieve superior performance.

Course Format

• Interactive lectures and discussions.
• Ample exercises and practical application.
• Hands-on implementation within a live-lab environment.

Customization Options

• To request customized training for this course, please contact us to arrange.

Writing efficient SQL queries against Microsoft SQL Server builds the foundation behind every enterprise data pipeline. Explores core techniques starting with relational database models, then progresses through data retrieval, filtering, sorting, and aggregation using grouping functions and subqueries. Guides participants through multi-table joins, set operators, DML operations, and transaction control to extract and manipulate business intelligence datasets reliably.

SSAS (SQL Server Analysis Services) is a Microsoft SQL Server tool designed for online analytical processing (OLAP) and data mining, enabling the analysis of data across various databases, tables, or files. The semantic data models created by SSAS are utilized by client applications including Power BI, Excel, Reporting Services, and other data visualization tools.

In this instructor-led live training (available onsite or remotely), participants will learn how to leverage SSAS to analyse large volumes of data within databases and data warehouses.

Upon completion of this training, participants will be able to:

• Install and configure SSAS
• Grasp the relationship between SSAS, SSIS, and SSRS
• Apply multidimensional data modelling to extract business insights from data
• Design OLAP (Online Analytical Processing) cubes
• Query and manipulate multidimensional data using the MDX (Multidimensional Expressions) query language
• Deploy real-world BI solutions using SSAS

Audience

• BI (Business Intelligence) professionals
• Data Analysts
• Database and data warehousing professionals

Format of the Course

• Interactive lecture and discussion
• Ample exercises and practice
• Hands-on implementation in a live-lab environment

Course Customization Options

• This training is based on the latest version of Microsoft SQL Server and SSAS.
• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level data professionals who wish to learn how to design, implement, and manage SSIS packages to perform data integration and transformation tasks.

By the end of this training, participants will be able to:

• Understand the architecture and components of SSIS.
• Design and implement ETL processes using SSIS.
• Use SSIS tools to develop, deploy, and manage data integration solutions.
• Troubleshoot and optimise SSIS packages for performance and reliability.

SQL Server Integration Services (SSIS) is a component of Microsoft SQL Server that provides a platform for data integration and workflow applications. It is used for data migration, warehousing, and transformation tasks.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals and developers who wish to focus on designing advanced SSIS data flows, transformations, and managing Slowly Changing Dimensions (SCD) for data warehousing scenarios.

By the end of this training, participants will be able to:

• Design and implement robust data flows using SSIS.
• Work with a variety of data sources, destinations, and transformations.
• Implement Slowly Changing Dimensions (SCD) for handling historical data changes.
• Deploy, execute, and troubleshoot SSIS packages effectively.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.