This article will explain how to use the SSIS lookup transformation and how it differs from the fuzzy lookup. This is a continuation of the SSIS features face-to-face series that we published previously on this website.

In this article, I am going to demonstrate about implementing the Modular ETL in SSIS practically. In my previous article on Designing a Modular ETL Architecture, I have explained in theory what a modular ETL solution is and how to design one. We have also understood the concepts behind a modular ETL solution and the benefits of it in the world of data warehousing. We have also related the concept of microservices architecture in software development to that of the modular ETL solution.

In this article, I am going to demonstrate in detail the Modular ETL Architecture. ETL is a vast concept which explains the methodology of moving data across various sources to destinations while performing some sort of transformations within it. This is an advanced article that considers that the user has a substantial amount of understanding about how ETL is implemented using different tools like SSIS and the underlying working principle along with how to deploy multiple packages using SSIS. It is extremely important to implement a well-designed ETL architecture for your organization’s workload, otherwise, it might lead to performance degradations along with other challenges. To keep things simple, I will just explain the Modular ETL Architecture in this article which will be followed by a detailed hands-on tutorial in the next article – “Implementing Modular Architecture in ETL using SSIS”.

In this article, I am going to discuss SSIS data lineage concepts, which are often used while designing ETL workloads on a data warehouse. Although this article is focused on implementing data lineage using SSIS, it does not only confine to SSIS but to any ETL tools in the market using which data is moved from one source to a destination. In my previous article, Understanding Data Lineage in ETL, I have already discussed the generic importance of data lineage concepts for any ETL tool. I would definitely suggest you have a look at it if you want to understand in general how data lineage helps to track the source of a single record in the warehouse.

In this article, I am going to explain what Data Lineage in ETL is and how to implement the same. In this modern world, where companies are dealing with a humongous amount of data every day, there also lies a challenge to efficiently manage and monitor this data. There are systems that generate data every second and are being processed to a final reporting or monitoring tool for analysis. In order to process this data, we use a variety of ETL tools, which in turn makes the data transformation possible in a managed way.

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.

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.

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.

This article explores an SSIS package for importing multiple Excel files data into SQL Server tables.

This article explores the Sequence container in SSIS package with examples.

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.

This article explores the SSIS Precedence Constraints, along with examples and scenarios.