Learning SQL with Microsoft SQL Server Training Course

This course is tailored for IT administrators, software developers, and database professionals.

Training Objectives:

• Develop and enhance skills in creating and managing databases.
• Gain proficiency in SQL syntax to retrieve and modify data effectively.
• Implement security best practices within the database environment.
• Utilize advanced features such as replication, automation, and Business Intelligence (BI).
• Leverage Microsoft SQL Server capabilities to build complex reports and developer solutions.

This extensive training program provides participants with the essential theoretical background and practical expertise needed to design, manage, and analyze business intelligence (BI) solutions leveraging contemporary Microsoft technologies. The curriculum centers on SQL Server (highlighting features from versions 2017, 2019, and 2022) and Azure Analysis Services (AAS), guiding learners through the complete data analytics workflow from initial data ingestion to final visualization.

Attendees will acquire the skills to architect and implement modern data warehousing environments, construct resilient ETL/ELT pipelines utilizing SQL Server Integration Services (SSIS), develop sophisticated analytical models via SQL Server Analysis Services (SSAS - Tabular) and Azure Analysis Services, and generate insightful reports and visual representations. The training places significant emphasis on harnessing in-memory computing, cloud connectivity, and contemporary query languages.

Designed for participants who already possess familiarity with SQL within the Microsoft SQL Server 2008/2012 ecosystem, this course delves into set-based querying and query optimization. Key topics include working with indexes and analyzing execution plans to enhance performance.

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

Mastering advanced Transact-SQL for Microsoft SQL Server unlocks the capabilities of enterprise database automation. This course examines core development constructs, including procedural programming, structured error handling, transaction control, cursor execution, stored procedures, and database triggers. It empowers experienced developers to architect complex backend data operations, minimize application-layer overhead, and develop production-grade solutions for critical database applications within enterprise environments.

This SQL training course is designed for individuals seeking to develop foundational skills in handling SQL Server Databases. Participants will learn:

• How to work with SQL Server and SQL Server Management Studio.
• The meaning of Databases, SQL, RDBMS, etc.
• How to create tables, use DDL, DML, and DAL.
• Various RDBMS packages in the market and how they compare with each other.
• An Introduction to NoSQL and how organizations are transitioning to hybrid databases.

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.

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 looking to administer, configure, and maintain SQL Server environments.

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

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

Course Format

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

Customization Options

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

This instructor-led, live training in Greece (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

This instructor-led, live training in Greece (online or onsite) is designed for intermediate-level database administrators seeking to acquire the necessary skills and knowledge to effectively manage SQL Server databases using SQL Server Management Studio.

Upon completing this training, participants will be able to:

• Understand system requirements and carry out installations.
• Create, configure, and manage databases using SSMS.
• Manage logins, users, roles, and permissions.
• Execute various backup types and restore databases.
• Create, schedule, and manage jobs using SQL Server Agent.
• Apply best practices for efficient and secure SQL Server administration.

SSAS (SQL Server Analysis Services) is a Microsoft tool for Online Analytical Processing (OLAP) and data mining, designed to analyze data across multiple databases, tables, or files. Its semantic data models are utilized by client applications such as Power BI, Excel, Reporting Services, and various other data visualization tools.

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

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

• Install and configure SSAS
• Understand the relationship between SSAS, SSIS, and SSRS
• Apply multidimensional data modelling 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
• Abundant 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 Greece (online or onsite) is designed for beginner-level data professionals seeking to learn how to design, implement, and manage SSIS packages for 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) serves as a key component of Microsoft SQL Server, offering a robust platform for data integration and workflow applications. It is extensively utilised for data migration, warehousing, and transformation tasks.

This instructor-led live training, available either online or on-site, is designed for intermediate-level data professionals and developers seeking to specialise in constructing advanced SSIS data flows, transformations, and managing Slowly Changing Dimensions (SCD) for data warehousing scenarios.

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

• Designing and implementing resilient data flows using SSIS.
• Working effectively with diverse data sources, destinations, and transformations.
• Implementing Slowly Changing Dimensions (SCD) to manage historical data changes.
• Deploying, executing, and troubleshooting SSIS packages with efficiency.

Course Format

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

Course Customisation Options

• To arrange a bespoke training session for this course, please contact us.

Participants will acquire a solid grasp of several advanced Transact-SQL features and will be able to perform the following tasks:

• Employ queries to retrieve complex result sets
• Manage database objects to enhance query performance
• Tune queries for greater efficiency

This course is designed for professionals who currently use Transact-SQL to extract data from a Microsoft SQL Server database and wish to broaden their expertise, particularly in data analysis and optimizing query speed.

Participants will acquire a solid grasp of the fundamental concepts of Structured Query Language, alongside the ability to perform the following tasks:

• Formulate queries to retrieve and filter data from an SQL Server database
• Generate summarized results
• Modify, derive, and format data to meet specific output requirements
• Update data and maintain database components and definitions

This course is designed for anyone who needs to access information stored in a Microsoft SQL Server database. It is ideal for system developers as well as professionals from other disciplines who require SQL skills to extract and analyze data.

This instructor-led, live training in Greece (online or onsite) targets intermediate 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.