Microsoft SQL Server Training in lubuskie

This instructor-led, live training in lubuskie (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-level relational database management system designed to store, manage, and retrieve data efficiently.

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

By the end 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.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in lubuskie (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) 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.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in lubuskie (online or onsite) is aimed at intermediate-level 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.

This instructor-led, live training in lubuskie (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.

This instructor-led live training in lubuskie (on-site or remote) is aimed at database administrators, SQL developers, and data analysts who wish to deepen their specialized knowledge in SQL. It covers advanced topics related to database management, optimization, and performance tuning.

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

• Optimize database performance through effective database preparation and DBO.
• Utilize and manage user-defined data types (UDDT) and user-defined types (UDT).
• Effectively handle spatial data types, including geographical and geometric data.
• Improve hierarchical data management, including structural elements, storage methods, and indexing strategies.
• Enhance query performance using advanced techniques such as data indexing, query execution plan analysis, and SQL query execution control.

This SQL training course is for people who want to gain the necessary skills to extract and analyse data from any database and create reports. Course members will learn:

• how to write SQL queries
• what relational databases are and how we can use them
• what are relations and how to create them
• the structure of data
• differences between T-SQL and other dialects
• practical skills for writing queries

This SQL course deals with Microsoft T-SQL dialect. If you are interested in generic SQL, please see SQL Fundamentals course.

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.

Delegates will gain an understanding of some of the more advanced features of Transact SQL as well as being able to do each of the following:

• Use queries to return complex result sets
• Manage database objects to aid query performance
• Tune queries to perform more efficiently

This course is for anyone who currently uses Transact SQL to extract data from a Microsoft SQL Server database and wishes to expand their knowledge particularly in the areas of data analysis and improving query speed.

Delegates will gain an understanding of the basic principles of Structured Query Language as well as being able to do each of the following:

• Construct queries to extract and filter data from an SQL Server database
• Create summarised results
• Change, derive and format data to suit the required output
• Change data and maintain database components and definitions

This course is for anybody who needs information from a Microsoft SQL Server database. It is suitable for either system developers or people from other areas who need to use SQL to extract and analyse data.

This SQL training course is for people who want to acquire basic skills to deal with SQL Server Databases. Course will help the members to learn:

• How to work with SQL Server and SQL Server Management Studio.
• Meaning of Databases, SQL and RDBMS etc.
• How to create tables, use DDL, DML and DAL.
• Which are the various RDBMS Packages in the market and how they compare with each other.
• An Introduction to NoSQL and how they are organizations are changing into hybrid databases.

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 lubuskie (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.

Audience

• Database Administrator
• Developers

Key Features and Functions of MDS:

Main Data Management: MDS allows for centralized management of master data that is shared and utilized by various systems and applications within an organization. This data can include information about products, customers, employees, suppliers, and other important categories.

Data Modeling: It enables the creation of data models that match the structure and requirements of the organization. Within these models, entities, attributes, and relationships can be defined.

Data Integration and Synchronization: MDS integrates with various data sources, allowing for synchronization and updating of master data across the entire organization.

Versioning and Change Management: It offers the capability to version data, enabling tracking of changes and management of different versions of master data.

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

Security and Access Control: MDS allows for defining permissions and access rules to data, ensuring that only authorized individuals can make changes or view sensitive information.

Workflow and Business Processes: The ability to create workflow processes ensures that data goes through the appropriate approval stages before publication or update.

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

This three-day instructor-led course provides students moving from earlier releases of SQL Server with an introduction to the new features in SQL Server 2016.

Skills gained

• Describekey capabilities and components of SQL Server 2016
• Describe new and enhanced features in SQL Server performance
• Describes new and enhanced features in SQL Server security
• Describe what’s new inSQL Server Availability and Scalability
• Describe new and enhanced features in reporting and PowerBIin SQL Server 2016
• Describe new and enhanced data access features
• Describe new and enhanced features in SQL Server OLAP
• Describenew SQL Server cloud functionality

This five-day instructor-led course provides students with the knowledge and skills to maintain a Microsoft SQL Server 2014 database. The course focuses on teaching individuals how to use SQL Server 2014 product features and tools related to maintaining a database.

Note: This course is designed for customers who are interested in learning SQL Server 2012 or SQL Server 2014. It covers the new features in SQL Server 2014, but also the important capabilities across the SQL Server data platform.

This five-day instructor-led course provides students who administer and maintain SQL Server databases with the knowledge and skills to administer an SQL server database infrastructure. Additionally, it will be of use to individuals who develop applications that deliver content from SQL Server databases.

This course is designed to teach students how to provision SQL Server databases both on premise and in SQL Azure.

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

This training is designed to introduce participants to various advanced solutions for data types and database structures. Participants will learn to use spatial type data, hierarchical type data, XML type data, and process data from/to JSON format.
Upon completion of the training, the participant:
▪ will be able to use various advanced solutions for data types and database structures
▪ will be able to process data from/to JSON format.

This training course is designed to familiarize participants with the security principles of relational databases, learn how to manage security copies and manage user access rights to specific resources. Participants will also learn how to securely store data and "hide" sensitive information, but will also learn how to monitor the database and server for security.

Upon completion of the training, the participant:
▪ will be familiar with the security principles of relational databases
▪ will know how to use copies of databases
▪ will be able to extract interesting data from the database
▪ will be able to manage user access rights to specific resources
▪ will know how to store data securely
▪ will know how to "hide" sensitive information
▪ will know how to monitor the database and server for security.

This training is designed to introduce the knowledge that allows you to configure the database server according to your requirements, and to create appropriate procedures for monitoring the functioning of its various components, as well as to quickly respond to any irregularities that arise. After completing this training, the participant will be able to effectively diagnose the sources of performance problems in the operation of SQL Server and apply various types of implementations leading to the removal of so-called "bottlenecks".

Upon completion of the training, the participant:
▪ will be able to diagnose so-called "bottlenecks" in the operation of the database and/or server
▪ will be able to monitor the operation of SQL Server
▪ will know what to recommend to improve the performance of the database and server.

The course answers questions

• How to build a query?
• What opportunities have SQL?
• What is a relational database?
• What is the structure and SQL commands?

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

In this instructor-led, live training (onsite or remote), participants will learn the essentials of the SQL language needed 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
• Understand the essentials of database design
• Optimize 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
• 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
• To request a customized training for this course, please contact us to arrange.

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 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.