SQL Training in Radom

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.

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.

SQL is a powerful language for managing and analyzing structured data in relational databases.

This instructor-led, live training (online or onsite) is aimed at intermediate-level users who wish to deepen their SQL skills for complex queries, data manipulation, and performance optimization.

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

• Write complex SQL queries using advanced joins and subqueries.
• Manipulate data using INSERT, UPDATE, and DELETE.
• Use window functions for advanced analytics.
• Optimize queries for better performance.

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.

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 Radom (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 Radom (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.

This instructor-led, live training in Radom (online or onsite) is aimed at data scientists and developers who wish to use and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization.

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

• Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
• Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
• Get a refresher on the fundamentals of Python and SQL.
• Perform data pre-processing techniques in Python.
• Learn how to connect Python and SQL for data analysis.
• Create insightful data visualizations and charts with Tableau.

This instructor-led live training in Radom (on-site or remote) is aimed at database administrators, SQL developers, and data analysts who wish to deepen their specialized knowledge in SQL. It covers advanced topics related to database management, optimization, and performance tuning.

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

• Optimize database performance through effective database preparation and DBO.
• Utilize and manage user-defined data types (UDDT) and user-defined types (UDT).
• Effectively handle spatial data types, including geographical and geometric data.
• Improve hierarchical data management, including structural elements, storage methods, and indexing strategies.
• Enhance query performance using advanced techniques such as data indexing, query execution plan analysis, and SQL query execution control.

This SQL training course is for people who want to gain the necessary skills to extract and analyse data using Microsoft Access. Course members will learn:

• how to write SQL queries
• what relational databases are and how we can use them
• what are relations and how to create them
• the structure of data
• differences between SQL dialects (Oracle, T-SQL, ANSI)
• practical skills for writing queries

This SQL course deals with Microsoft Access dialect of SQL.

This SQL training course is for people who want to gain the necessary skills to extract and analyse data from any database and create reports. Course members will learn:

• how to write SQL queries
• what relational databases are and how we can use them
• what are relations and how to create them
• the structure of data
• differences between T-SQL and other dialects
• practical skills for writing queries

This SQL course deals with Microsoft T-SQL dialect. If you are interested in generic SQL, please see SQL Fundamentals course.

• How to build a query?
• What is a relational database?
• What is the structure and SQL commands?

This instructor-led, live training in Radom (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.

Delegates will gain an understanding of some of the more advanced features of Transact SQL as well as being able to do each of the following:

• Use queries to return complex result sets
• Manage database objects to aid query performance
• Tune queries to perform more efficiently

This course is for anyone who currently uses Transact SQL to extract data from a Microsoft SQL Server database and wishes to expand their knowledge particularly in the areas of data analysis and improving query speed.

Delegates will gain an understanding of the basic principles of Structured Query Language as well as being able to do each of the following:

• Construct queries to extract and filter data from an SQL Server database
• Create summarised results
• Change, derive and format data to suit the required output
• Change data and maintain database components and definitions

This course is for anybody who needs information from a Microsoft SQL Server database. It is suitable for either system developers or people from other areas who need to use SQL to extract and analyse data.

This course has been created for people already acquainted with SQL. The course introduces you into secrets common to all SQL databases as well as MySQL specific syntax, functions and features.

In this instructor-led, live training in Radom, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire. 

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.

Format of the Course

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

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.

This SQL training course is for people who want to gain the necessary skills to extract and analyse data from any database and create reports. Course members will learn:

• how to write SQL queries
• what relational databases are and how we can use them
• what are relations and how to create them
• the structure of data
• differences between SQL dialects (Oracle, T-SQL, ANSI)
• practical skills for writing queries

This SQL course deals with generic ANSI SQL. It can be used in any database, including Oracle, MySQL, Microsoft Access, Microsoft SQL Server, DB2, Informix, PostgreSQL any other relational databases.

This instructor-led, live training in Radom (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.

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.

This instructor-led, live training in Radom (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.

The course answers questions

• How to build a query?
• What opportunities have SQL?
• What is a relational database?
• What is the structure and SQL commands?

This instructor-led live training in Radom (onsite or remote) is designed for database administrators, SQL developers, and data analysts who wish to expand their specialized knowledge in the area of SQL tuning.

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

• Work with user-defined data types (UDDT) and user-defined types (UDT) to enhance data modeling.
• Effectively manage hierarchical data, considering structural elements, storage methods, strategies, and indexing techniques.
• Implement ranking and analytical functions using the OVER clause, window functions, and various operators such as GROUPING SETS, GROUPING_ID, ROLLUP, CUBE, PIVOT, UNPIVOT.
• Leverage temporary data and other temporary features for efficient query processing.
• Improve query performance through advanced data indexing techniques, including index selectivity, server suggestions for missing indexes, and measuring execution time with and without indexes.
• Create and manage statistics to optimize cardinality estimation and eliminate potential errors.
• Analyze SQL query execution plans, understand query plan reading, parameter sniffing, and code recompilation.
• Control SQL query execution using hints, extended events, the database engine tuning advisor, data collector, and query store.