SQL Fundamentals to Advanced Querying Training Course

This instructor-led, live training in Hungary (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 Hungary (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.

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.

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 instructor-led, live training in Hungary (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.

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 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.

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?

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

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 Hungary, 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 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.

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.