In the previously published articles in this series, we talked about the Business Intelligence Markup Language (BIML) and how to use the technology to build and manage SQL Server Integration Services (SSIS) packages. Besides managing SSIS packages, we can also manage SSAS models and build databases using BIML.
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In this article, we will be talking about Manticore Search, which is an open-source search engine first released in 2017 as a fork of the Sphinx search engine. We will try to describe this search engine briefly, mention some of its differences from the Sphinx search engine, and we will provide a step-by-step guide on how to build full-text indexes from SQL Server databases. Finally, we will show how to connect to the Manticore engine from the SQL Server management studio using a linked server object. In our previously published articles in this series, we talked briefly about the Sphinx search engine and how to create full-text indexes from SQL Server databases.
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In the previously published article, Getting started with Sphinx search engine, we talked about the Sphinx search engine and how to install it on the Windows operating system. In this article, we will talk about building full-text indexes using Sphinx. We will be covering seven topics:
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In this article, we will be talking about the Sphinx search engine and how to use it to install it on the Windows operating system.
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In this article, we will talk briefly about data quality in SQL Server. Then, we will give a brief overview of the Melissa Data Quality for SQL Server Integration Services (SSIS), and we will demonstrate the components available in the community edition.
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In our previously published articles in this series, we talked about many SSIS Hadoop components added in SQL Server 2016, such as the Hadoop connection manager, Hadoop file system task, HDFS file source, and HDFS file destination.
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In the previously published article, we talked briefly about Hadoop, and we gave an overview of the SSIS Hadoop components added in the SQL Server 2016 release, and we focused on the Hadoop connection manager and the Hadoop file system task.
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In this article, we will give a brief introduction of Hadoop and how it is integrated with SQL Server. Then, we will illustrate how to connect to the Hadoop cluster on-premises using the SSIS Hadoop connection manager and the related tasks.
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In this article, we will explain what JSON is, what are the SQL Server JSON functions introduced in 2016, how to index JSON values, and how to import JSON data into SQL tables.
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DTExec is a tool used to configure and execute SQL Server Integration Services (SSIS) packages. Many developers and database administrators use this tool, especially when automating the package execution using third-party applications or non-supported programming languages.
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In the previously published article, Biml alternatives: Building SSIS packages programmatically using ManagedDTS, we talked about building SSIS packages using the managed object model of the SSIS engine (ManagedDTS). In this article, we will illustrate another Biml alternative, which is the EzApi class library, and we will make a comparison between both technologies.
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In the previously published articles in this series, we have explained how to use Biml to create and manage SQL Server Integration Services (SSIS) packages. In this article, we will talk about the first alternative of this markup language which is the Integration Services managed object model (ManagedDTS and related assemblies) provided by Microsoft.
In this article, we will first illustrate how to create, save and execute SSIS packages using ManagedDTS in C#, then we will do a small comparison with Biml.
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In this article, we will explain the File Transfer Protocol (FTP), and we will give an overview of the FTP task in SQL Server Integration Services (SSIS) and FTP connection manager.
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In the previously published article, Extending Biml with C# scripts, we have explained how to use VB or C# scripts within the Biml code to prevent doing repetitive development work. But in this solution, the C# scripts and classes are only available within a single file while we may need to use them in many.
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In this article, we will talk about sp_WhoIsActive stored procedure and how we can use it to monitor currently running activities in SQL Server.
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In our previously published articles in the Biml series, we have explained what Biml is, and how to use this language to generate SQL Server Integration Services (SSIS) packages. In this article, we will explain BimlScript, which is an extension of this markup language with VB or C# scripts.
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In the previous article, Converting SSIS packages to Biml scripts, we explained how to convert existing SSIS packages into Biml scripts using Import Packages tool and we mentioned that this could be an efficient way to learn this markup language since it lets the user compare between the well-known SSIS objects found in the package and the correspondent elements in the generated scripts.
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In our previous article, Getting started with Biml, we have explained what Biml is, what are the related tools and resources and how to get started with this technology. In this article, we will explain how to generate scripts from existing SSIS packages by showing all related options. Then, we will analyze the generated script and identify how each object is mentioned in the script.
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T-SQL (Transact-SQL) is a set of SQL language programming extensions developed by Sybase and Microsoft. These extensions are adopted in Microsoft SQL Server and it provides a powerful set of functions to execute analytics and administrative commands; also it is very helpful during data wrangling.
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In this article, we will give a brief overview of BIML by showing how it can be installed and how we can use it to generate SSIS packages using the BimlExpress tool. Finally, we will provide some good resources to learn this technology.
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There are many operations that we may run while working with OLAP cubes such as cube and partitions processing, executing administrative tasks, performing analysis and more… Three query languages that are used to run these operations: multidimensional expressions (MDX), data mining expressions (DMX) and XML for Analysis (XMLA). We can mainly write and execute these queries in SQL Server Management Studio, but many times we need to implement them within a flow that executes other tasks over other services (database engine, file system…)
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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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