Online Microsoft SQL Server Training in Latvia

This instructor-led, live training in Latvia (online or onsite) is aimed at intermediate-level database administrators who wish to learn the necessary skills and knowledge to effectively manage and administer SQL Server databases using SQL Server Management Studio.

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

• Understand system requirements and perform installations.
• Create, configure, and manage databases using SSMS.
• Manage logins, users, roles, and permissions.
• Perform various types of backups and restore databases.
• Create, schedule, and manage jobs using SQL Server Agent.
• Implement best practices for efficient and secure SQL Server administration.

SQL Server is Microsoft’s enterprise-level relational database management system designed to store, manage, and retrieve data efficiently.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to administer, configure, and maintain SQL Server environments.

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

• Install and configure SQL Server environments.
• Manage databases, users, and permissions.
• Monitor performance and troubleshoot issues.
• Automate tasks using jobs and maintenance plans.

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 Latvia (online or onsite) is aimed at intermediate-level to advanced-level database administrators who wish to deepen their knowledge of SQL Server for efficient database management, performance tuning, high availability, and advanced troubleshooting.

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

• Administer and configure SQL Server instances using best practices.
• Optimize performance of queries and databases.
• Implement high availability and disaster recovery strategies.
• Diagnose and resolve complex issues in production environments.A

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.

This instructor-led, live training in Latvia (online or onsite) is aimed at intermediate-level software developers and automation engineers who wish to build applications that communicate with PLCs and interact with SQL databases using Visual Studio.

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

• Develop .NET applications in Visual Studio for industrial automation.
• Communicate with PLCs using industrial protocols such as OPC UA.
• Implement database interactions with SQL Server for storing and retrieving PLC data.
• Optimize application performance for real-time industrial environments.

This instructor-led, live training in Latvia (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.

Writing advanced Transact-SQL for Microsoft SQL Server unlocks the power behind enterprise database automation. Examines core development constructs including procedural programming, structured error handling, transaction control, cursor execution, stored procedures, and database triggers. Equips experienced developers to architect complex backend data operations, reduce application-layer overhead, and build production-grade solutions for critical database applications across enterprise environments.

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 SQL training course is for people who want to acquire basic skills to deal with SQL Server Databases. Course will help the members to learn:

• How to work with SQL Server and SQL Server Management Studio.
• Meaning of Databases, SQL and RDBMS etc.
• How to create tables, use DDL, DML and DAL.
• Which are the various RDBMS Packages in the market and how they compare with each other.
• An Introduction to NoSQL and how they are organizations are changing into hybrid databases.

The course is designed for administrators, developers and database developers.

The objectives of the training:

• acquire and strengthen the skills to create and manage databases
• knowledge of the syntax and use SQL to retrieve and modify data
• apply safety rules in the database
• the use of advanced elements (replication, automation, BI)
• the use of Microsoft SQL Server capabilities to create complex reports and solutions for developers

This comprehensive training course equips participants with the foundational knowledge and practical skills required to build, manage, and analyze business intelligence (BI) solutions using modern Microsoft technologies. The course focuses on SQL Server (2017/2019/2022 features) and Azure Analysis Services (AAS), covering the entire data analytics pipeline from data ingestion to visualization.

Participants will learn to design and implement modern data warehousing solutions, build robust ETL/ELT pipelines using SQL Server Integration Services (SSIS), create powerful analytical models using SQL Server Analysis Services (SSAS - Tabular) and Azure Analysis Services, and develop insightful reports and visualizations. Emphasis is placed on leveraging in-memory technologies, cloud integration, and modern query languages.

This course has been created for delegates already acquainted with SQL in Microsoft SQL Server Environment 2008/2012. The course focuses on set-based querying and query tuning, working with indexes and analyzing execution plans.

The training also covers table expressions, ranking functions and how to deal with partitioned tables.

Writing efficient SQL queries against Microsoft SQL Server builds the foundation behind every enterprise data pipeline. Explores core techniques starting with relational database models, then progresses through data retrieval, filtering, sorting, and aggregation using grouping functions and subqueries. Guides participants through multi-table joins, set operators, DML operations, and transaction control to extract and manipulate business intelligence datasets reliably.

Microsoft SQL Server is a relational database management system (RDBMS) for storing and retrieving data.

In this instructor-led, live training (onsite or remote), participants will learn the essentials of the SQL language needed to query a Microsoft SQL Server database.

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

• Install and configure Microsoft SQL Server
• Query a Microsoft SQL Server database using Microsoft's Transact-SQL (T-SQL) language
• Understand the essentials of database design
• Optimize a database through normalization
• Use aggregate functions to generate results similar to those of "pivot-tables"
• Access Microsoft SQL Server through Excel

Audience

• Data analysts
• Business Intelligence professionals
• Business managers
• Excel experts who wish to expand their analysis skill set

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

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.