Microsoft SQL Server Training in Sofia

This instructor-led, live training in Sofia (online or onsite) is designed for database administrators with intermediate-level skills who wish to acquire the necessary competencies to effectively manage and administer SQL Server databases using SQL Server Management Studio.

Upon completing this training, participants will be capable of:

• Identifying system requirements and executing installations.
• Creating, configuring, and managing databases using SSMS.
• Administering logins, users, roles, and permissions.
• Executing various backup types and restoring databases.
• Creating, scheduling, and managing jobs through SQL Server Agent.
• Applying best practices for efficient and secure SQL Server administration.

SQL Server is Microsoft’s enterprise-grade relational database management system, engineered to store, manage, and retrieve data with high efficiency.

This instructor-led, live training (available online or onsite) targets intermediate IT professionals seeking to administer, configure, and maintain SQL Server environments.

Upon completion of this training, participants will be capable of:

• Installing and configuring SQL Server environments.
• Managing databases, users, and permissions.
• Monitoring performance and resolving issues.
• Automating tasks through jobs and maintenance plans.

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Sofia (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) serves as a key component of Microsoft SQL Server, offering a robust platform for data integration and workflow applications. It is extensively utilized for data migration, warehousing, and transformation tasks.

This instructor-led live training, available online or on-site, targets intermediate-level data professionals and developers aiming to master the design of advanced SSIS data flows, transformations, and the management of Slowly Changing Dimensions (SCD) within data warehousing contexts.

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

• Design and implement resilient data flows using SSIS.
• Effectively work with diverse data sources, destinations, and transformation components.
• Implement Slowly Changing Dimensions (SCD) to manage historical data changes.
• Deploy, execute, and troubleshoot SSIS packages with efficiency.

Course Format

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

Customization Options

• To arrange customized training for this course, please contact us to make the necessary arrangements.

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

By the conclusion 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 Sofia (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.

Mastering advanced Transact-SQL for Microsoft SQL Server unleashes the capabilities of enterprise database automation. This course explores essential development constructs such as procedural programming, structured error handling, transaction management, cursor operations, stored procedures, and database triggers. It empowers experienced developers to design sophisticated backend data processes, minimize application-layer load, and deliver production-ready solutions for critical database systems in enterprise settings.

Participants will develop a solid grasp of several advanced Transact SQL features and acquire the ability to perform the following tasks:

• Execute queries that return complex result sets
• Manage database objects to enhance query performance
• Otimize queries for greater efficiency

This course is designed for professionals who currently use Transact SQL to extract data from Microsoft SQL Server databases and wish to deepen their expertise, particularly in data analysis and improving query speed.

This SQL training program is designed for individuals seeking to develop foundational skills for working with SQL Server databases. The course will help participants master:

• How to operate within SQL Server and SQL Server Management Studio.
• The definitions and significance of databases, SQL, and RDBMS.
• The process of creating tables and applying DDL, DML, and DDL.
• An overview of various RDBMS products available in the market and how they compare.
• An introduction to NoSQL and the shift toward hybrid database architectures in modern organizations.

This course is tailored for administrators, developers, and database specialists.

Training Objectives:

• Develop and reinforce skills for creating and managing databases
• Gain proficiency in SQL syntax to retrieve and modify data
• Implement security protocols within the database
• Utilize advanced features such as replication, automation, and business intelligence (BI)
• Capitalize on Microsoft SQL Server capabilities to build complex reports and solutions for developers

This course is designed for participants who are already familiar with SQL within the Microsoft SQL Server 2008/2012 environment. The curriculum emphasizes set-based querying techniques, query tuning, index management, and the analysis of execution plans.

Additionally, the training addresses table expressions, ranking functions, and strategies for handling partitioned tables.

Mastering the creation of efficient SQL queries for Microsoft SQL Server forms the cornerstone of every enterprise data pipeline. This course explores fundamental techniques, beginning with relational database models and advancing to data retrieval, filtering, sorting, and aggregation via grouping functions and subqueries. Participants will gain hands-on experience with multi-table joins, set operators, DML operations, and transaction control, enabling them to reliably extract and manipulate business intelligence datasets.

Microsoft SQL Server serves as a relational database management system (RDBMS) designed for efficient data storage and retrieval.

This instructor-led training, available both onsite and remotely, guides participants through the fundamental aspects of the SQL language required to query a Microsoft SQL Server database.

Upon completion of this course, participants will be equipped to:

• Install and configure Microsoft SQL Server
• Query Microsoft SQL Server databases using the Transact-SQL (T-SQL) language
• Grasp the core principles of database design
• Optimize database structures via normalization
• Employ aggregate functions to create results akin to "pivot-tables"
• Connect to Microsoft SQL Server directly from Excel

Target Audience

• Data analysts
• Business Intelligence professionals
• Business managers
• Excel specialists looking to broaden their analytical capabilities

Course Delivery Format

• Interactive lectures paired with discussions
• Extensive exercises and practical application
• Live-lab implementation for hands-on experience

Customization Options

• The curriculum is based on the most recent version of Microsoft SQL Server
• For personalized training requests, please reach out to us to arrange details.

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

In this instructor-led live training, available either onsite or remotely, participants will learn how to leverage SSAS to analyze large volumes of data within 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
• 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.