Database Administration Fundamentals for MS SQL Server Training Course

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

Training objectives:

• Acquire and strengthen skills in creating and managing databases
• Gain knowledge of SQL syntax to retrieve and modify data
• Apply security best practices within the database
• Utilise advanced features such as replication, automation, and Business Intelligence (BI)
• Leverage Microsoft SQL Server capabilities to build complex reports and developer-focused solutions

This comprehensive training course equips participants with the foundational knowledge and practical skills required to build, manage, and analyse 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 visualisation.

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 visualisations. Emphasis is placed on leveraging in-memory technologies, cloud integration, and modern query languages.

This course has been designed for delegates who are already familiar with SQL in the Microsoft SQL Server 2008/2012 environment. The course emphasises set-based querying and query tuning, working with indexes, and analysing execution plans.

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

This instructor-led, live training in New Zealand (available online or on-site) is designed for beginner to intermediate-level developers and database administrators seeking to develop proficiency in SQL Server 2012 Integration Services.

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

• Grasp the core principles of ETL and understand the role of SSIS.
• Create, deploy, and manage SSIS packages.
• Design and implement Control Flow to define task sequencing within a package.
• Implement Workflow and configure constraints to ensure effective task execution.
• Construct Data Flows to extract, transform, and load data.
• Utilise Variables and Containers to enhance package flexibility.
• Manage Transactions to maintain data consistency.
• Apply robust error handling and debugging techniques.
• Configure Logging for tracking and monitoring purposes.
• Handle Slowly Changing Dimensions to manage evolving data.
• Deploy packages for production environments.
• Implement security measures to protect sensitive information.
• Leverage scripting to extend SSIS functionality.
• Adhere to best practices for building efficient and maintainable SSIS solutions.

The aim of this course is to provide a clear understanding of the advanced use of SQL for Microsoft SQL Server and the advanced use of Transact-SQL. For more in-depth coverage of the topics, this course can be delivered as a three-day programme.

As the cornerstone of the Microsoft data platform, SQL Server is a leading operational database management system.

This SQL training course is designed for individuals seeking to build foundational skills in managing SQL Server databases. The course will help participants learn:

• How to work effectively with SQL Server and SQL Server Management Studio.
• The core concepts of databases, SQL, and RDBMS.
• How to create tables and utilise DDL, DML, and DAL.
• The various RDBMS packages available in the market and how they compare.
• An introduction to NoSQL and how organisations are transitioning to hybrid database solutions.

The course addresses key questions

• How do you build a query?
• What capabilities does SQL offer?
• What is a relational database?
• What is the structure of SQL and its commands?

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

In this instructor-led, live training (available onsite or remotely), participants will master the essentials of the SQL language required 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
• Grasp the fundamentals of database design
• Optimise 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
• Abundant exercises and practice opportunities
• Hands-on implementation in a live-lab environment

Course Customisation Options

• This training is based on the latest version of Microsoft SQL Server
• To request a customised training session for this course, please contact us to arrange.

SQL Server is Microsoft's enterprise-level relational database management system, engineered to store, manage, and retrieve data with exceptional efficiency.

This instructor-led, live training (delivered either online or on-site) is designed for intermediate-level IT professionals seeking to administer, configure, and maintain SQL Server environments effectively.

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

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

Course Format

• Interactive lectures and guided discussions.
• Extensive practical exercises and hands-on practice.
• Real-world implementation within a live-lab environment.

Course Customisation Options

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

This instructor-led, live training in New Zealand (online or in-person) is aimed at intermediate to advanced 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.
• Optimise performance of queries and databases.
• Implement high availability and disaster recovery strategies.
• Diagnose and resolve complex issues in production environments.

This instructor-led, live training in New Zealand (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.

SSAS (SQL Server Analysis Services) is a Microsoft SQL Server tool for online analytical processing (OLAP) and data mining, designed to analyse 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 visualisation tools.

In this instructor-led, live training (onsite or remote), participants will learn how to use SSAS to analyse 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 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

 
Course Format

• Interactive lectures and discussions
• Abundant exercises and practice opportunities
• Hands-on implementation in a live-lab environment

Course Customisation Options

• This training is based on the latest version of Microsoft SQL Server and SSAS.
• To request a customised training session for this course, please contact us to make arrangements.

This instructor-led, live training in New Zealand (online or on-site) 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 optimise SSIS packages for performance and reliability.

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.
• Plenty of exercises and hands-on practice.
• Live-lab implementation in a real-world environment.

Course Customisation Options

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