Microsoft SQL Server Training in Australia

This instructor-led, live training in Australia (online or onsite) is designed for intermediate-level database administrators seeking to acquire the skills and knowledge required to effectively manage and administer SQL Server databases using SQL Server Management Studio.

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

• Understand system requirements and perform installations.
• Create, configure, and manage databases using SSMS.
• Manage logins, users, roles, and permissions.
• Perform various types of backups and restore databases.
• Create, schedule, and manage jobs using SQL Server Agent.
• Implement best practices for efficient and secure SQL Server administration.

SQL Server is Microsoft’s enterprise-level relational database management system designed to store, manage, and retrieve data efficiently.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to administer, configure, and maintain SQL Server environments.

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

• Install and configure SQL Server environments.
• Manage databases, users, and permissions.
• Monitor performance and troubleshoot issues.
• Automate tasks using jobs and maintenance plans.

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 aimed at intermediate-level to advanced-level database administrators who wish to deepen their knowledge of SQL Server for efficient database management, performance tuning, high availability, and advanced troubleshooting.

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

• Administer and configure SQL Server instances using best practices.
• Optimize performance of queries and databases.
• Implement high availability and disaster recovery strategies.
• Diagnose and resolve complex issues in production environments.

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.

This instructor-led, live training in Australia (online or onsite) is designed for intermediate-level software developers and automation engineers who wish to build applications that communicate with PLCs and interact with SQL databases using Visual Studio.

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

• Develop .NET applications in Visual Studio for industrial automation.
• Communicate with PLCs using industrial protocols such as OPC UA.
• Implement database interactions with SQL Server for storing and retrieving PLC data.
• Optimize application performance for real-time industrial environments.

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.

Mastering advanced Transact-SQL for Microsoft SQL Server unleashes the capabilities behind enterprise-grade database automation. This course explores fundamental development constructs such as procedural programming, structured error handling, transaction management, cursor execution, stored procedures, and database triggers. It empowers seasoned developers to design sophisticated backend data operations, minimise application-layer overhead, and construct robust, production-ready solutions for critical database applications within enterprise settings.

Participants will develop a solid grasp of the more sophisticated capabilities of Transact SQL, along with the ability to achieve the following objectives:

• Utilise queries to retrieve complex result sets
• Manage database objects to enhance query performance
• Optimise queries for greater efficiency

This course is tailored for individuals who currently employ Transact SQL to extract data from a Microsoft SQL Server database and wish to broaden their expertise, particularly in data analysis and improving query speed.

This SQL training course is designed for individuals seeking to develop fundamental skills in working with SQL Server databases. Participants will learn:

• How to navigate SQL Server and SQL Server Management Studio.
• The concepts behind databases, SQL, and RDBMS.
• The creation of tables and the application of DDL, DML, and DCL.
• An overview of various RDBMS solutions available on the market and how they compare.
• An introduction to NoSQL and the shift towards hybrid database architectures in organisations.

This course is tailored for system administrators, software developers, and database specialists.

Key Learning Outcomes:

• Develop and refine skills in creating and managing databases.
• Gain proficiency in SQL syntax to retrieve and modify data effectively.
• Implement security protocols within the database environment.
• Utilise advanced features such as replication, automation, and Business Intelligence (BI).
• Leverage Microsoft SQL Server capabilities to build complex reports and developer solutions.

This comprehensive training programme empowers participants with the essential knowledge and hands-on skills needed to build, manage, and analyse business intelligence (BI) solutions using contemporary Microsoft technologies. The course concentrates on SQL Server (2017/2019/2022 features) and Azure Analysis Services (AAS), spanning the entire data analytics pipeline from data ingestion to visualisation.

Participants will learn to design and implement modern data warehousing solutions, construct robust ETL/ELT pipelines using SQL Server Integration Services (SSIS), develop powerful analytical models using SQL Server Analysis Services (SSAS - Tabular) and Azure Analysis Services, and create insightful reports and visualisations. There is a strong emphasis on leveraging in-memory technologies, cloud integration, and modern query languages.

Designed for delegates who already possess familiarity with SQL within the Microsoft SQL Server 2008/2012 environment, this course concentrates on set-based querying, query tuning, index utilisation, and execution plan analysis.

The training also addresses table expressions, ranking functions, and techniques for managing partitioned tables.

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.

Microsoft SQL Server serves as a relational database management system (RDBMS) designed for storing and retrieving data.

Through this instructor-led live training, available either on-site or remotely, participants will master the essential SQL language skills required to query a Microsoft SQL Server database.

Upon completing this training, participants will be able to:

• Install and configure Microsoft SQL Server
• Query a Microsoft SQL Server database using Microsoft's Transact-SQL (T-SQL) language
• Gain a solid understanding of database design principles
• Optimize database structure through normalization
• Utilize aggregate functions to generate results comparable to "pivot-tables"
• Connect to Microsoft SQL Server via Excel

Audience

• Data analysts
• Business Intelligence professionals
• Business managers
• Excel experts looking to broaden their analytical skill set

Format of the Course

• Interactive lectures and discussions
• Extensive exercises and practice sessions
• Practical implementation in a live-lab environment

Course Customization Options

• This training is delivered based on the latest version of Microsoft SQL Server
• To request customized training for this course, please contact us to make arrangements.

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.