Transact SQL Advanced Training Course

This instructor-led, live training in Mexico (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, optimize, and enhance 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 integrate AI capabilities into SQL workflows 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 Mexico (available online or on-site) is tailored for intermediate-level database administrators, SQL developers, and data analysts seeking to refine their SQL skills through the mastery of Analytic Functions.

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

• Comprehend the concept and value of Analytic Functions.
• Deploy various Analytic Functions to tackle complex analytical issues.
• Merge Analytic Functions with other SQL capabilities for comprehensive data insights.
• Improve query performance through the effective 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 provide a comprehensive understanding of SQL usage across various database systems (Oracle, SQL Server, MS Access, etc.). By mastering analytic functions and the techniques for joining multiple tables within a database, participants will be able to shift data analysis tasks to the database layer, reducing reliance on MS Excel. This approach also aids in the development of IT systems that utilize relational databases.

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

This guided live training, available both online and in-person, is designed for beginners looking to learn how to query and report on data using SQL.

Upon completing this course, participants will be capable of:

• Grasping the structure of relational databases.
• Creating fundamental SQL statements to retrieve, filter, and sort information.
• Employing aggregate functions to summarize data sets.
• Executing basic joins to connect multiple tables.

Course Format

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

Customization Options

• To arrange customized training for this course, please get in touch with us.

This instructor-led, live training in Mexico (online or onsite) is aimed at beginner-level to intermediate-level data analysts, database professionals, and software developers who wish to learn SQL to manage databases effectively.

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.

This instructor-led, live training in Mexico (online or onsite) is designed for beginners, programmers, and database administrators who want 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 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 program is designed for individuals seeking to acquire the essential skills required to extract, analyze, and report on data from any database. Participants will learn:

• how to formulate SQL queries
• the concept of relational databases and how to utilize them
• the nature of relations and how to establish them
• data structure fundamentals
• distinctions among SQL dialects (Oracle, T-SQL, ANSI)
• hands-on skills for constructing queries

While this course focuses on generic ANSI SQL, the knowledge gained is applicable to any relational database, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL, and others.

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

This live training, led by an instructor and available online or on-site, targets intermediate-level users looking to enhance their SQL expertise in complex querying, data manipulation, and performance tuning.

Upon completing this training, participants will be able to:

• Construct complex SQL queries utilizing advanced joins and subqueries.
• Perform data manipulation using INSERT, UPDATE, and DELETE operations.
• Apply window functions for sophisticated analytics.
• Optimize queries to achieve superior performance.

Course Format

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

Customization Options

• To arrange a customized training session for this course, please get in touch with us.

Mastering the creation of efficient SQL queries for Microsoft SQL Server establishes the cornerstone of every enterprise data pipeline. This course explores foundational techniques, beginning with relational database models and advancing through data retrieval, filtering, sorting, and aggregation using grouping functions and subqueries. Participants will be guided through multi-table joins, set operators, DML operations, and transaction control to reliably extract and manipulate business intelligence datasets.

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

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

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

• Install and configure SSAS
• Understand 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
• Plenty of 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 Mexico (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 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.