In this article, I will discuss how this can be done using Visual Studio 2019. You can also just clone the GitHub project and use it as your SSIS starter project.
SQL Server Integration Service (SSIS) provides an convenient and unified way to read data from different sources (extract), perform aggregations and transformation (transform), and then integrate data (load) for data warehousing and analytics purpose. When you need to process large amount of data (GBs or TBs), SSIS becomes the ideal approach for such workload.
One example usage is to migrate one database to another database with different schema on a different server. There are many other ways to do it, such as:
The downside of the above approaches can be error prone in terms of error handling, user friendly, or not being able to handle large amount of data. For example, Generate Scripts in SSMS will not work when the database size is larger than a few Gigabytes.
In this article, I will discuss how this can be done using Visual Studio 2019. You can also just clone the GitHub project and use it as your SSIS starter project. Here is the GitHub link.
Microsoft has documentation on the installation process as well, but all you need is to launch Visual Studio Installer and install “Data storage and processing” toolsets in the Other Toolsets section.
SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
This is part 3 of “MS SQL Server- Zero to Hero” and in this article, we will be discussing about the SCHEMAS in SQL SERVER. Before getting into this article, please consider to visit previous articles in this series from below.
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I have a .NET application using SQL Server 2005 which uses an SSIS package (.dtsx) to import data from .csv files.
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