SQL in SQL Server Training Course

This instructor-led, live training in Serbia (online or onsite) targets beginner to intermediate-level developers and database administrators seeking proficiency in SQL Server 2012 Integration Services.

Upon completion, participants will be equipped to:

• Grasp the fundamentals of ETL and understand SSIS's role.
• Build, deploy, and oversee SSIS packages.
• Design and implement Control Flow structures to orchestrate task sequences.
• Configure workflows and define constraints to ensure efficient task execution.
• Create Data Flows for extracting, transforming, and loading data.
• Leverage Variables and Containers to increase package adaptability.
• Oversee transactions to maintain data integrity.
• Employ robust error handling and debugging strategies.
• Configure logging for comprehensive tracking and monitoring.
• Manage Slowly Changing Dimensions to handle evolving data.
• Deploy packages for production environments.
• Apply security protocols to safeguard sensitive information.
• Use scripting to expand SSIS capabilities.
• Adopt best practices for building efficient and maintainable SSIS solutions.

This instructor-led, live training in Serbia (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 represents the application of artificial intelligence and large language models (LLMs) to automate, optimize, and improve how SQL queries are generated, executed, and interpreted 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 facilitate natural language querying, intelligent optimization, and automated data analysis.

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

• Integrate LLMs such as GPT, DeepSeek, LLaMA, Qwen, and Mistral into SQL environments.
• Develop 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.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• 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 Serbia (online or onsite) is tailored for intermediate-level database administrators, SQL developers, and data analysts seeking to enhance their SQL skills by mastering Analytic Functions.

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

• Comprehend 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 Structure

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

The Administering a SQL Database Infrastructure MOC 20764-C course provides the essential skills and knowledge required to manage and maintain SQL Server databases within a SQL database infrastructure.

This MySQL Fundamentals training program is designed to familiarize participants with the core principles of MySQL, a widely adopted relational database management system. Tailored for beginners, the course lays a robust groundwork for those pursuing interests in database administration, software engineering, or data analytics.

After completing the course, participants will be able to:

1. Effectively Navigate MySQL: Gain a comprehensive understanding of the MySQL environment, including its architecture and essential components, to interact with the database system effortlessly.
2. Execute Data Manipulation Operations: Carry out fundamental and intermediate data manipulation tasks, such as inserting, updating, deleting, and retrieving data within MySQL databases.
3. Construct SQL Queries: Develop SQL queries to extract specific data, utilizing filtering, sorting, and limiting methods to refine the results.
4. Enforce Data Integrity: Implement constraints like primary keys, foreign keys, unique constraints, and nullability rules to preserve data consistency and integrity in MySQL databases.
5. Manage Transactions: Handle transaction initiation, commitment, and rollback procedures to ensure reliable data consistency during complex, multi-step operations.
6. Utilize Data Types and Functions: Understand and apply various data types and built-in MySQL functions to effectively handle, calculate, and transform data.
7. Apply Practical Skills: Participate in practical projects and case studies to apply theoretical knowledge, enhancing problem-solving skills and conceptual understanding.

This live instructor-led training (onsite or remote) will guide you through the most important elements of the SQL language. A combination of comprehensively prepared training materials and the expertise of the instructor will serve as an introduction to the world of databases.

This course is designed to provide a comprehensive understanding of SQL utilization across various database platforms, including Oracle, SQL Server, and MS Access. By mastering analytic functions and techniques for joining tables within a database, participants will learn to shift data analysis operations from MS Excel directly to the database layer. This approach not only streamlines analysis but also supports the development of any IT system relying on relational databases.

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

This instructor-led live training, available online or onsite, is designed for beginners who want to learn how to query and report using SQL.

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

• Comprehend the architecture of relational databases.
• Compose fundamental SQL statements to retrieve, filter, and sort data.
• Apply aggregate functions to summarize information.
• 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 tailored training for this course, please contact us to make arrangements.

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

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

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

This instructor-led live training, available online or onsite, is designed for software developers, managers, and business analysts who want to leverage big data systems to store and retrieve large volumes of data.

Upon completing this training, participants will be able to:

• Efficiently query large datasets.
• Understand how big data systems store and retrieve information.
• Utilize the latest big data systems available.
• Transform data from various systems into reporting platforms.
• Write SQL queries in the following environments:
  • MySQL
  • Postgres
  • Hive Query Language (HiveQL/HQL)
  • Redshift

Course Format

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

Customization Options

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

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

This instructor-led live training, available onsite or remotely, teaches participants how to leverage SSAS to analyze large volumes of data stored in databases and data warehouses.

Upon completion 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
• 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 Serbia (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 Microsoft SQL Server component that offers a platform for data integration and workflow applications. It is utilized for tasks involving data migration, warehousing, and transformation.

This instructor-led live training, available online or onsite, is designed for intermediate-level data professionals and developers who wish to specialize in designing advanced SSIS data flows and transformations, as well as managing Slowly Changing Dimensions (SCD) for data warehousing scenarios.

Upon completing 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.

Course Format

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

Course Customization Options

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