Glue Language

What does Glue Language mean?

Glue language, also known as Data integration or transformation language, is a programming language designed specifically for data integration and transformation tasks. It provides a way to connect to and extract data from various sources, transform and cleanse the data, and then load it into a target system. Glue languages are typically declarative, meaning that they specify what needs to be done rather than how it should be done. This makes them easy to use, even for users with limited programming experience.

Glue languages are often used in data warehouses and business intelligence applications, where they can be used to integrate data from a Variety of sources, such as relational databases, spreadsheets, and XML files. They can also be used to transform and cleanse the data, to remove duplicates, correct errors, and convert data into a consistent format.

Applications

Glue languages are important in technology today because they provide a way to easily and efficiently integrate data from a variety of sources. This is essential for data warehousing and business intelligence applications, which require access to data from multiple sources to provide users with a complete view of their data. Glue languages can also be used to clean and transform data, which is important for ensuring that the data is accurate and consistent.

Some of the key applications of glue languages include:

• Data integration: Glue languages can be used to connect to and extract data from a variety of sources, including relational databases, spreadsheets, XML files, and web services. This data can then be Integrated into a data warehouse or other target system.
• Data transformation: Glue languages can be used to transform and cleanse data, to remove duplicates, correct errors, and convert data into a consistent format. This is important for ensuring that the data is accurate and reliable.
• Data loading: Glue languages can be used to load data into a target system, such as a data warehouse or business intelligence Application. This data can then be used to generate reports, analyze trends, and make decisions.

History

The first glue language was developed in the early 1990s by Informatica Corporation. Informatica’s PowerCenter product was one of the first data integration tools to use a graphical User Interface, and it quickly became the leading data integration tool on the market.

In the late 1990s and early 2000s, several other glue languages were developed, including Microsoft’s SQL Server Integration Services (SSIS) and Oracle’s Oracle Data Integrator (ODI). These glue languages were designed to be more flexible and powerful than Informatica’s PowerCenter, and they quickly gained market share.

Today, glue languages are an essential part of data warehousing and business intelligence applications. They provide a way to easily and efficiently integrate data from a variety of sources, transform and cleanse the data, and load it into a target system.