The Microsoft SQL Server training covers all aspects of Microsoft’s premier database system for all kinds of enterprises. The courses, which can lead to Microsoft SQL Server certifications, focus on areas such as SQL Server adaministration, database management and querying, and performance-tuning and optimizing SQL databases.
Microsoft SQL Server Training
Using these products effectively is a critical piece of everyone’s work-related skills. Feel free to contact us if you are unsure which level of course to attend.
*A minimum of 2 students are required for most courses. Private sessions are available.
SQL Querying- Fundamentals
Many organizations use databases to store their most critical information: the information that manages their day-to-day operations. After the data is stored in databases, however, it is useless unless you can retrieve it for further business analysis. One example of a database management system is Microsoft SQL Server 2012. The language you use to retrieve information from SQL Server 2012 databases is the Structured Query Language (SQL). This course, SQL Querying: Fundamentals, will teach you to use SQL as a tool to retrieve the information you need from databases.
SQL Querying- Advanced
In the course SQL Querying: Fundamentals, you learned the basics of SQL querying. Now that you have a foundation in how to query databases, you will learn in this course how to identify and use advanced querying techniques. In addition, you might find that you need to perform tasks such as modifying the structure of a table; inserting, updating, or deleting data; and indexing tables to optimize query performance. In this course, you will learn how to complete these tasks and more.
In today’s competitive environment, information is one of the most important factors in determining the success of an organization. If you are able to manage and retrieve information efficiently, you can streamline the organization’s processes and give it a competitive edge. As the organization grows, you will need to handle large amounts of data. Under such circumstances, you might need to query multiple tables simultaneously and with increasing frequency. You must step up the speed of generating query output to cope with the increasing demands of data storage, management, and retrieval.