SQL in SQL Server Training Course

This instructor-led, live training in Poland (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to enhance their skills in extracting, analyzing, and manipulating data within Microsoft Access using queries and SQL.

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

• Understand different types of queries in Microsoft Access.
• Use query design tools to extract and analyze data effectively.
• Write SQL queries to retrieve and manipulate data.
• Perform data aggregation, filtering, and sorting using queries.
• Apply advanced query techniques for troubleshooting and optimization.

This instructor-led, live training in Poland (online or onsite) 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.
• Utilize Scripting to extend SSIS functionality.
• Apply Best Practices for efficient and maintainable SSIS solutions.

This instructor-led, live training in Poland (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 is the application of artificial intelligence and large language models (LLMs) to automate, optimize, and enhance the way SQL queries are generated, executed, and interpreted within enterprise data environments.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data engineers and technical leads who wish 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 Poland (online or onsite) is aimed at intermediate-level database administrators, SQL developers, and data analysts who wish to enhance their SQL skills by mastering the use of Analytic Functions.

By the end 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.

Format of the Course

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

This course helps customer to chose the write data storage depend on their needs. It covers almost all possible modern approaches.

Key Features and Functions of MDS:

Main Data Management: MDS allows for centralized management of master data that is shared and utilized by various systems and applications within an organization. This data can include information about products, customers, employees, suppliers, and other important categories.

Data Modeling: It enables the creation of data models that match the structure and requirements of the organization. Within these models, entities, attributes, and relationships can be defined.

Data Integration and Synchronization: MDS integrates with various data sources, allowing for synchronization and updating of master data across the entire organization.

Versioning and Change Management: It offers the capability to version data, enabling tracking of changes and management of different versions of master data.

Data Quality Management: Provides tools to maintain high data quality, including validation and cleansing functions.

Security and Access Control: MDS allows for defining permissions and access rules to data, ensuring that only authorized individuals can make changes or view sensitive information.

Workflow and Business Processes: The ability to create workflow processes ensures that data goes through the appropriate approval stages before publication or update.

MDS is particularly useful in large organizations where there is a need to coordinate and manage master data across different systems and applications. This enables effective management of information resources, which is crucial for making informed business decisions and maintaining high-quality operations.

The aim of this course is to provide a clear understanding of the use of SQL for different
databases (Oracle, SQL Server, MS Access...). Understanding of analytic functions and the
way how to join different tables in a database will help delegates to move data analysis
operations to the database side, instead of doing this in MS Excel application. This can also
help in creating any IT system, which uses any relational database.

SQL is a standard language used for accessing and manipulating databases.

This instructor-led, live training (online or onsite) is aimed at beginner-level users who wish to understand and use SQL for data querying and reporting.

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

• Understand the structure of relational databases.
• Write basic SQL statements to retrieve, filter, and sort data.
• Use aggregate functions to summarize data.
• Perform basic joins between multiple tables.

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 Poland (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 Poland (online or onsite) is aimed at beginners, programmers, and database administrators who wish 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.

SSAS (SQL Server Analysis Services), is a Microsoft SQL Server transactional processing (OLAP) and data mining tool for analyzing 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 visualization tools.

In this instructor-led, live training (onsite or remote), participants will learn how to use SSAS to analyze 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 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
• Lots 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 Poland (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.