Database Administration Fundamentals for MS SQL Server Training Course

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 Singapore (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

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

This instructor-led, live training in Singapore (online or onsite) is aimed at advanced-level database administrators who wish to learn how to configure and manage data workload on databases.

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

• Create and manage databases, tables, and queries.
• Manage query performance.
• Create and restore database backups.

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.

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.

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.

This instructor-led, live training in Singapore (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 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 Singapore (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.