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  1. The NULLIF function will convert any column value with only whitespace into a NULL value. Works for T-SQL and SQL Server 2008 & up. SELECT [column_name] FROM [table_name] WHERE NULLIF([column_name], '') IS NULL

  2. Sep 15, 2008 · If you need to write just one condition, then iif() is sufficient, however if you want to write multiple iif() conditions within one statement then you will have to use `case' statement as demonstrated in above responses. Here is an example for your reference.

  3. Syntax. SELECT column1, column2, ... FROM table_name; Here, column1, column2, ... are the field names of the table you want to select data from. The table_name represents the name of the table you want to select data from.

    • Categorizing Data. Understanding transaction data is important for evaluating customer purchasing behavior in the context of a retail business.
    • Handling NULL Values. Tracking order dates is essential for an e-commerce platform; it helps us comprehend customer behavior and develop better order fulfillment schedules.
    • Creating Aggregated Columns. To optimize production and inventory management, a manufacturing company may seek to determine the level of demand for its products.
    • Marketing Analysis. Imagine you are an online retailer who wishes to plan marketing campaigns and inventory stocking by analyzing the seasonality of customer orders.
  4. May 27, 2019 · SQLSELECT statements are used to retrieve data from the database and also, they populate the result of the query into the result-sets. The SQL examples of this article discourse and explain the fundamental usage of the SELECT statement in the queries.

  5. Jan 12, 2009 · ApexSQL Search is definitely the best solution. I just tried using the script to find an email addres in a database - 8:30 minutes later, I gave up. After installing ApexSQL Search, I searched for exactly the same string, and it found it 31 times in 11 tables.

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  7. Dec 12, 2023 · In SQL, a subquery is a query nested within another query. It simplifies building intricate queries to retrieve data that meets specific conditions from various tables. In this article, we present various ways of employing subqueries to create complex queries. We start by introducing SQL subqueries along with common use cases.

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