SQL in SQL Server Training Course

This instructor-led, live training in Malaysia (online or on-site) is aimed at beginner to intermediate-level developers and database administrators who wish to gain proficiency in SQL Server 2012 Integration Services.

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

• Understand the principles of ETL and the role of SSIS.
• Create, deploy, and manage SSIS packages.
• Design and implement Control Flow to define the flow of tasks in a package.
• Implement Workflow and set up constraints for effective task execution.
• Construct Data Flows to extract, transform, and load data.
• Work with Variables and Containers to enhance package flexibility.
• Manage Transactions to ensure data consistency.
• Implement effective error handling and debugging techniques.
• Set up Logging for tracking and monitoring.
• Handle Slowly Changing Dimensions for managing changing data.
• Deploy a Package for production use.
• Implement Security measures to protect sensitive data.
• Utilise Scripting to extend SSIS functionality.
• Apply Best Practices for efficient and maintainable SSIS solutions.

This instructor-led, live training in Malaysia (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:

• Execute 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 involves the use of artificial intelligence and large language models (LLMs) to automate, optimize, and improve the generation, execution, and interpretation of SQL queries within enterprise data environments.

This instructor-led live training, available online or onsite, is designed for intermediate-level data engineers and technical leads who want to incorporate AI capabilities into their SQL workflows. The goal is to enable natural language querying, intelligent optimization, and automated data analysis.

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

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

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 Malaysia (online or on-site) is tailored for intermediate-level database administrators, SQL developers, and data analysts keen to refine their SQL skills by mastering Analytic Functions.

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

• Understand the concept and importance of Analytic Functions.
• Apply various Analytic Functions to solve complex analytical problems.
• Combine Analytic Functions with other SQL features for comprehensive data analysis.
• Optimize queries for better performance using Analytic Functions.

Course Format

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

This course aims to provide a comprehensive understanding of SQL usage across various database platforms (Oracle, SQL Server, MS Access, etc.). By mastering analytic functions and techniques for joining multiple tables within a database, participants will be equipped to shift data analysis operations from MS Excel directly to the database layer. This approach not only enhances efficiency but also supports the development of IT systems leveraging relational databases.

SQL serves as the standard language for accessing and manipulating databases.

This instructor-led live training, available either online or on-site, is designed for beginner-level users who wish to understand and utilize SQL for data querying and reporting.

Upon completion of this training, participants will be capable of:

• Comprehending the structure of relational databases.
• Writing fundamental SQL statements to retrieve, filter, and sort data.
• Utilizing aggregate functions to summarize data.
• Executing basic joins across multiple tables.

Course Format

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

Customization Options

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

This instructor-led, live training in Malaysia (online or onsite) is targeted at beginner to intermediate-level data analysts, database professionals, and software developers seeking to learn SQL for effective database management.

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

• Understand and use fundamental SQL commands and queries.
• Create and manipulate tables and databases.
• Use SQL to sort, filter, and summarize data.
• Implement more complex operations like joins, subqueries, and set operations.
• Apply intermediate techniques such as indexes, views, stored procedures, and triggers.

Live, instructor-led training provided in Malaysia (online or onsite) is targeted at beginners, programmers, and database administrators who wish to learn or upgrade 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 standardized 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 organization, please contact us to arrange.

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

• how to craft SQL queries
• the concept of relational databases and how to utilise them effectively
• the nature of relations and how to establish them
• data structure fundamentals
• distinctions between various SQL dialects (Oracle, T-SQL, ANSI)
• practical techniques for writing queries

This SQL course focuses on generic ANSI SQL, making it applicable to any database system, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and other relational databases.

SQL serves as a robust tool for managing and analysing structured data within relational databases.

This instructor-led, live training, available either online or onsite, targets intermediate-level users seeking to enhance their SQL capabilities for handling complex queries, data manipulation, and performance optimisation.

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

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

Course Format

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

Customisation Options

• To arrange a tailored training session for this course, please reach out to us.

SSAS (SQL Server Analysis Services) is a Microsoft SQL Server solution designed for online analytical processing (OLAP) and data mining. It enables the analysis of data across multiple databases, tables, or files. The semantic data models generated by SSAS serve as the foundation for client applications such as Power BI, Excel, Reporting Services, and various other data visualization tools.

In this instructor-led live training, available in either onsite or remote formats, participants will learn how to leverage SSAS to analyze 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 modeling 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
• Extensive 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 Malaysia (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 optimize SSIS packages for performance and reliability.

SQL Server Integration Services (SSIS) is a core component of Microsoft SQL Server, offering a comprehensive platform for data integration and workflow applications. It is widely utilised for data migration, data warehousing, and complex data transformation tasks.

This instructor-led live training, available online or onsite, targets intermediate-level data professionals and developers looking to specialise in designing advanced SSIS data flows, applying sophisticated transformations, and managing Slowly Changing Dimensions (SCD) within data warehousing contexts.

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

• Design and implement resilient data flows using SSIS.
• Effectively work with diverse data sources, destinations, and transformation tools.
• Implement Slowly Changing Dimensions (SCD) to manage historical data changes.
• Deploy, execute, and troubleshoot SSIS packages with confidence.

Course Format

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

Course Customization Options

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