MS SQL Server 2019 Training Course

About This Course

This three-day instructor-led course is aimed at people looking to move into a database professional role or whose job role is expanding to encompass database elements. The course describes fundamental database concepts including database types, database languages, and database designs.

Audience Profile

The primary audience for this course is people who are moving into a database role, or whose role has expanded to include database technologies.

At Course Completion

After completing this course, students will be able to:
• Describe key database concepts in the context of SQL Server 2016
• Describe database languages used in SQL Server 2016
• Describe data modelling techniques
• Describe normalization and denormalization techniques
• Describe relationship types and effects in database design
• Describe the effects of database design on performance
• Describe commonly used database objects

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

Training is dedicated to the basics of create a data warehouse environment based on MS SQL Server 2008.

Course participant gain the basis for the design and construction of a data warehouse that runs on MS SQL Server 2008.

Gain knowledge of how to build a simple ETL process based on the SSIS and then design and implement a data cube using SSAS.

The participant will be able to manage OLAP database: create and delete database OLAP Processing a partition changes on-line.

The participant will acquire knowledge of scripting XML / A and MDX.

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.

This instructor-led, live training in Poland (online or onsite) is aimed at beginner to intermediate-level developers and database administrators who wish to gain proficiency in SQL Server 2012 Integration Services.

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

• Understand the principles of ETL and the role of SSIS.
• Create, deploy, and manage SSIS packages.
• Design and implement Control Flow to define the flow of tasks in a package.
• Implement Workflow and set up constraints for effective task execution.
• Construct Data Flows to extract, transform, and load data.
• Work with Variables and Containers to enhance package flexibility.
• Manage Transactions to ensure data consistency.
• Implement effective error handling and debugging techniques.
• Set up Logging for tracking and monitoring.
• Handle Slowly Changing Dimensions for managing changing data.
• Deploy a Package for production use.
• Implement Security measures to protect sensitive data.
• Utilize Scripting to extend SSIS functionality.
• Apply Best Practices for 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 run as a three day course.

This course is divided into 3 main sections and is made up of a mixture of presentations and practical exercises.

1. VB.NET Language in Visual Studio 2012
2. VB.NET Object Orientation
3. VB.NET and Sql Server 2012

This course will teach the basics of Microsoft's dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database and, Azure Synapse Analytics.

Audience

• Database Administrator
• Developers

Key features and functions of MDS:

Master Data Management: MDS allows you to centrally manage master data that is shared and used by various systems and applications in your organization. This data may include information about products, customers, employees, suppliers and other categories important to the company.

Data Modeling: Enables you to create data models that match your organization's structure and requirements. Entities, attributes, and relationships can be defined within these models.

Data Integration and Synchronization: MDS integrates with various data sources, allowing you to synchronize and update master data across your organization.

Versioning and change management: Offers data versioning capabilities, which allows you to track changes and manage different versions of master data.

Data Quality Management: Provides tools to maintain high data quality, including data validation and cleansing capabilities.

Security and access control: MDS allows you to define permissions and access rules for data, ensuring that only authorized people can make changes or view sensitive information.

Workflow and business processes: Ability to create workflow processes that ensure that data goes through the appropriate approval stages before being published or updated.

MDS is particularly useful in large organizations where there is a need to coordinate and manage master data across various systems and applications. This enables effective management of information resources, which is key to making informed business decisions and maintaining high quality operations.

This intensive training provides the fundamental knowledge and skills to use Windows PowerShell for automating administration of Windows based computers. The skills taught in this course are applicable to all Microsoft products that use Windows PowerShell for daily administration.

Training focuses mainly on using Windows PowerShell as an interactive command line interface however it also includes some coverage of scripting and programming topics.

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.

This instructor-led, live training in Poland (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.