Advanced SQL II Training Course

This instructor-led, live training in Uzbekistan (online or on-site) is designed for beginner to intermediate-level developers and database administrators seeking to build proficiency in SQL Server 2012 Integration Services.

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

• Understand the core principles of ETL and the role of SSIS.
• Create, deploy, and manage SSIS packages.
• Design and implement Control Flow to define the sequence of tasks within a package.
• Implement Workflow and configure constraints for efficient task execution.
• Construct Data Flows to extract, transform, and load data.
• Utilize Variables and Containers to enhance package flexibility.
• Manage Transactions to ensure data consistency.
• Apply effective error handling and debugging techniques.
• Configure Logging for tracking and monitoring purposes.
• Handle Slowly Changing Dimensions to manage evolving data.
• Deploy a Package for production use.
• Implement Security measures to protect sensitive data.
• Leverage Scripting to extend SSIS functionality.
• Apply Best Practices to develop efficient and maintainable SSIS solutions.

This instructor-led, live training in Uzbekistan (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 refers to the application of artificial intelligence and large language models (LLMs) to automate, optimise, and enhance the generation, execution, and interpretation of SQL queries within enterprise data environments.

This instructor-led, live training (available online or on-site) is designed for intermediate-level data engineers and technical leads who aim to integrate AI capabilities into SQL workflows, enabling natural language querying, intelligent optimisation, 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 optimisation and error detection.
• Design secure, auditable AI-SQL workflows for enterprise use.

Course Format

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

Course Customisation Options

• To request a customised training session for this course, please contact us to make arrangements.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for intermediate-level database administrators, SQL developers, and data analysts who aim to strengthen their SQL expertise by mastering the use of Analytic Functions.

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

• Grasp the concept and significance of Analytic Functions.
• Apply various Analytic Functions to tackle complex analytical challenges.
• Integrate Analytic Functions with other SQL capabilities for thorough data analysis.
• Optimize query performance effectively using Analytic Functions.

Course Format

• Interactive lectures and group discussions.
• Extensive hands-on exercises and practical sessions.
• Real-time implementation in a live-lab environment.

The MOC 20764-C course on Administering a SQL Database Infrastructure equips learners with the essential skills and knowledge required to manage and maintain SQL Server databases within a SQL database environment.

The MySQL Fundamentals training course is crafted to introduce participants to the core principles of MySQL, a widely adopted relational database management system. Tailored for beginners, this program establishes a strong foundation for those aspiring to pursue careers in database management, software development, or data analysis.

By the end of the course, participants will be able to:

1. Navigate MySQL Efficiently: Gain a comprehensive understanding of the MySQL environment, including its architecture and essential components, to facilitate seamless interaction with the database system.
2. Perform Data Manipulation Tasks: Execute fundamental to intermediate data operations, such as inserting, updating, deleting, and retrieving information from MySQL databases.
3. Develop SQL Queries: Design SQL queries to extract specific data, utilizing filtering, sorting, and limiting methods to refine output results.
4. Ensure Data Integrity: Implement constraints like primary keys, foreign keys, unique constraints, and nullability rules to uphold data consistency and reliability within MySQL.
5. Handle Transactions: Manage transactions by initiating, committing, and rolling back changes to guarantee data accuracy and reliability during complex operations.
6. Leverage Data Types and Functions: Apply various data types and built-in MySQL functions to effectively handle, calculate, and transform data.
7. Apply Practical Knowledge: Utilize hands-on projects and case studies to apply theoretical concepts in real-world scenarios, enhancing understanding and problem-solving skills.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level database administrators and IT professionals who wish to optimize the performance of Oracle Database 19c.

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

• Understand Oracle Database 19c performance tuning concepts.
• Use performance management tools effectively.
• Optimize database performance through tuning techniques.
• Troubleshoot and resolve performance issues.

This live, instructor-led training (available onsite or remotely) will guide you through the most essential elements of the SQL language. A blend of thoroughly prepared training materials and the instructor's expertise will serve as your introduction to the world of databases.

This course aims to provide a clear understanding of how to use SQL across various databases (Oracle, SQL Server, MS Access, etc.). By mastering analytic functions and learning how to join different tables within a database, participants will be able to shift data analysis operations to the database level instead of relying on MS Excel. This capability is also invaluable when developing any IT system that utilizes a relational database.

SQL is the standard language utilized for accessing and manipulating databases.

This instructor-led live training, available either online or on-site, is designed for beginners who want to learn how to use SQL for data querying and reporting.

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

• Comprehend the structure of relational databases.
• Write fundamental SQL statements to retrieve, filter, and sort data.
• Apply aggregate functions to summarize data.
• Execute basic joins across multiple tables.

Course Format

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

Customization Options

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

This instructor-led live training in Uzbekistan (available online or onsite) targets beginner to intermediate 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:

• Grasp and utilize core SQL commands and queries
• Create and modify tables and databases
• Employ SQL to organize, filter, and summarize data
• Execute complex operations such as joins, subqueries, and set operations
• Apply intermediate-level techniques including indexes, views, stored procedures, and triggers

SSAS (SQL Server Analysis Services) is a Microsoft SQL Server tool for online analytical processing (OLAP) and data mining, designed to analyse data across multiple databases, tables or files. The semantic data models provided by SSAS are used by client applications such as Power BI, Excel, Reporting Services and other data visualisation tools.

In this instructor-led, live training (on-site or remote), participants will learn how to use SSAS to analyse large volumes of data 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 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

 
Course Format

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

Course Customisation Options

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

This instructor-led live training, held Uzbekistan (online or onsite), targets beginner-level data professionals who want to learn how to design, implement, and manage SSIS packages for 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 Microsoft SQL Server component that offers a robust platform for data integration and workflow applications. It is widely utilized for data migration, data warehousing, and transformation operations.

This instructor-led live training, available online or on-site, targets intermediate data professionals and developers seeking to master the design of advanced SSIS data flows, transformations, and the management of Slowly Changing Dimensions (SCD) for data warehousing use cases.

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

• Designing and implementing resilient data flows using SSIS.
• Interacting with diverse data sources, destinations, and transformation types.
• Implementing Slowly Changing Dimensions (SCD) to manage historical data changes.
• Effectively deploying, executing, and troubleshooting SSIS packages.

Course Format

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

Course Customization Options

• For tailored training requests, please reach out to us to make arrangements.