While working with raw data, you may frequently face date values stored as text. Converting these values to a date data type is very important since dates may be more valuable during analysis. In SQL Server, converting a string to date can be achieved in different approaches.
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SQL join multiple tables is one of the most popular types of statements executed while handling relational databases. As known, there are five types of join operations: Inner, Left, Right, Full and Cross joins.
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SQL cursor is one of the most popular database objects. It is used to retrieve data from the result set of an SQL query one row at a time. Even if the cursor is not recommended from a performance perspective, they are still widely used especially when handling a small amount of data.
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This article is a supplement to the previously published article, An overview of SQL String Functions . This time, we will describe another bunch of SQL string functions used in SQL Server.
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One of the most asked questions is how to link an OLAP cube with a relational database, or in another way how to join the result of an MDX query with a table stored in a relational database.
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In this article, we will try to give a brief overview of the SQL string functions used in SQL Server and we will provide some examples.
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In this article, we will describe SQL Server Profiler and how it can be used. In addition, we will mention the tools that are integrated with it- plans about its deprecation, and what are the alternatives?
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In this article, first, we will briefly describe foreach loops and for loops. Then, we will give an overview of SSIS Foreach Loop Container and For Loop Container. Finally, we will compare these two containers.
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In this article, we will give a brief overview of SSIS Balanced Data Distributor (BDD). In addition, we will give some examples and illustrate alternatives.
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The Data Profiling task in SSIS is an important task that can be used to assess the quality of data sources. Unfortunately, this component is not widely used by many business intelligence developers.
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In this article, we illustrate how to use the OFFSET FETCH feature as a solution for loading large volumes of data from a relational database using a machine with limited memory and preventing an out of memory exception. We describe how to load data in batches to avoid placing a large amount of data into memory.
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In this article, we will give an overview of using Flat Files and Raw Files in SSIS, then we will illustrate some of the differences between using these two types.
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SSIS Script component is a prominent strength of SQL Server Integration Services since it allows developers to implement any complex logic and utilize libraries from the powerful .NET framework or third-parties.
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Until now, Microsoft has not included the XML Destination component in SQL Server Integration Services (SSIS). Many years ago, this component was requested on the Microsoft connect website, but it was closed as “Won’t fix.” For this reason, many workarounds and third-party components were created. In this article, we’ll talk about these components and some of the popular solutions for exporting data to XML using SSIS.
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In this article, I will first give an overview of the OLE DB, ODBC, and ADO.NET SSIS connection managers. Then I will try to illustrate the difference between them when trying to connect to SQL Server.
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In this article, I will first give an overview of SSIS data types and data types conversion methods and then I will illustrate the difference between changing the columns data types from the Source Advanced editor and using Data Conversion Transformation.
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In this article, we will first give an overview of SSIS derived column transformation, then we will run an experiment to check if there is any difference between adding multiple expressions within one derived column transformation and adding a derived column transformation for each expression.
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In the previous article, I gave an overview of Execute SQL Task in SSIS and we illustrated some of the differences between writing an expression to evaluate SqlStatementSource property and writing this expression within a variable and change the Execute SQL Task Source Type to variable.
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In this article, I will give an overview of Execute SQL Task in SSIS and I will try to illustrate some of the differences between writing an expression to evaluate SqlStatementSource property or writing this expression within a variable and change the Execute SQL Task Source Type to a variable.
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In this article, I will give an overview of SSIS OLE DB Destination and SQL Server Destination and I will try to illustrate some of the differences between both destination components based on my personal experience, SSIS official documentation and some other experts experience in this domain.
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In this article, I will first give an introduction about SSIS expressions, then I will describe briefly the Expression Task and how to Evaluate a variable as expression. Then I will do a comparison between these two features to illustrate the similarities and differences between them.
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SQL Server Integration Services provides a wide variety of features that helps developers to build a robust Extract, Transform, and Load process. After many years contributing to SSIS-related tags on Stackoverflow.com, I can say that many developers have some misunderstandings about SSIS features (SSIS OLE DB Source, SSIS Expressions, SQL Server destination …) especially those which are very similar and have some common usability.
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While building and deploying an SSAS OLAP cube, there are two processing orders that you can choose from when you create a process operation:
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