![]() We can easily create a summary report using: ![]() If we want a list of ProductID without the aggregated values, then we can use DISTINCT. The following SQL statement returns records that have NumsSales bigger than 1,000. We can also filter these aggregated values using HAVING. There may be situations that we don’t need every detail instead we would just like to have the summary, e.g., how many units and sales order per. In a simple SQL statement, we discuss the basic elements of an SQL statement. We may want to calculate the total price, i.e. We can make sure the records are listed in a certain order, e.g., LastName. We may not always want all records we can select, e.g., LastName = ‘Brown’. We may not always want every column let’s say we just want and. It will retrieve every column (*) and every row (19,972 rows) from table. This is probably the simplest form of SQL statement. Once we have installed SQL Server 2012 Express and attached AdventureWorks Sample database, we can launch Microsoft SQL Server Management Studio, where we can start using SQL statements. This article will focus on how to use SQL statements to retrieve data, and will not cover database architecture or design. They can be downloaded (FREE) from the following sites: Microsoft® SQL Server® 2012 Express AdventureWorks sample database We are going to use Microsoft® SQL Server® 2012 Express and a sample database, AdventureWorks. We are going to learn what SQL is and how we can use SQL to manage data. ![]() Most enterprise data is stored in databases, and IT uses structured query language (SQL) to process data held in a relational database management system (RDBMS). So how does IT retrieve data from the systems? It would be great if we could retrieve data ourselves. It can take days or even weeks before they can obtain the additional data. ![]() When they need more data, they have to go back to their IT department. Most analysts receive the data from their IT department. Excel is a global standard analytical tool that is used in every industry. ![]()
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