Microsoft SQL Server Training in Maia

This instructor-led, live training in Maia (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-grade relational database management system, engineered for the efficient storage, management, and retrieval of data.

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

Upon completion 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.

Course Format

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

Customization Options

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

This instructor-led, live training in Maia (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.

SQL Server Integration Services (SSIS) is a core component of Microsoft SQL Server, providing a robust platform for data integration and workflow applications. It is widely utilized for data migration, data warehousing, and transformation tasks.

This instructor-led live training, available either online or onsite, is designed for intermediate-level data professionals and developers aiming to master the design of advanced SSIS data flows and transformations, as well as 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.
• Interact with diverse data sources, destinations, and transformation components.
• Apply Slowly Changing Dimensions (SCD) to manage historical data changes effectively.
• Deploy, execute, and troubleshoot SSIS packages with efficiency.

Course Format

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

Course Customization Options

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

This instructor-led, live training in Maia (available online or in-person) is designed for intermediate software developers and automation engineers who aim 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 Maia (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 within Microsoft SQL Server unleashes the full potential of enterprise database automation. This course explores essential development constructs, including procedural programming, structured error handling, transaction management, cursor operations, stored procedures, and database triggers. It empowers seasoned developers to design complex backend data processes, minimize application-layer overhead, and deliver robust, production-ready solutions for critical enterprise database applications.

Participants will develop a solid understanding of several advanced Transact SQL capabilities, alongside gaining the ability to perform the following tasks:

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

This course is designed for individuals who currently utilise Transact SQL to extract data from a Microsoft SQL Server database and wish to broaden their expertise, particularly regarding data analysis and improving query speed.

This SQL training course is designed for individuals seeking to acquire foundational skills for managing SQL Server databases. Participants will learn:

• How to interact with SQL Server and SQL Server Management Studio.
• The concepts behind databases, SQL, and RDBMS.
• Techniques for creating tables and utilizing DDL, DML, and DCL.
• Various RDBMS products available in the market and their comparative advantages.
• An introduction to NoSQL and how organizations are transitioning to hybrid database architectures.

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

Training Objectives:

• Gain and reinforce the skills necessary to create and manage databases
• Understand SQL syntax and apply it to retrieve and modify data
• Implement security protocols within the database environment
• Utilize advanced features such as replication, automation, and Business Intelligence (BI)
• Leverage Microsoft SQL Server capabilities to develop complex reports and solutions for developers

Designed for delegates who already possess familiarity with SQL within the Microsoft SQL Server 2008/2012 environment, this course concentrates on set-based querying and query tuning. Key areas of study include working with indexes and analyzing execution plans.

Additionally, the training covers table expressions, ranking functions, and techniques for handling partitioned tables.

Developing efficient SQL queries for Microsoft SQL Server forms the bedrock of every enterprise data pipeline. This course explores core techniques, beginning with relational database models, and advancing through data retrieval, filtering, sorting, and aggregation using grouping functions and subqueries. It guides participants through multi-table joins, set operators, DML operations, and transaction control to reliably extract and manipulate business intelligence datasets.

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

Through this instructor-led live training, available either onsite or remotely, attendees will acquire the fundamental SQL skills necessary to effectively query Microsoft SQL Server databases.

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

• Install and configure Microsoft SQL Server
• Execute queries on a Microsoft SQL Server database using the Transact-SQL (T-SQL) language
• Grasp the core principles of database design
• Enhance database performance through normalization
• Utilize aggregate functions to generate results comparable to those produced by pivot tables
• Connect to Microsoft SQL Server directly from Excel

Target Audience

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

Course Structure

• Interactive lectures and group discussions
• Extensive practical exercises and hands-on practice
• Live implementation within a lab environment

Customization Options

• This training utilizes the most recent version of Microsoft SQL Server
• For inquiries regarding customized training arrangements, please contact us directly.

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 serve as a foundation for client applications such as Power BI, Excel, Reporting Services, and various data visualization tools.

In this instructor-led live training (available onsite or remotely), participants will learn how to utilize SSAS to analyze large volumes of data stored 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.