ETL stands for Extract, Transform, Load which are the three fundamental functions of database management. ETL tools typically combine all these functions into a single programming tool. With ETL, the application first reads data from a specified database and then transforms them to the desired format. The transformed data are written to a specified database which may or may not be new.
Node.js is commonly used in ETL applications. The primary reason for this is its asynchronous nature. Databases with hundreds of rows can be quickly processed with non-blocking calls over Node.js. This reduces waiting time and helps increase processing efficiency.
One of the challenges is data accessibility. Thanks to the cloud, most organizations store and manage data on their servers remotely. Dynamic data visualization is only achievable when file sharing is seamless between the remote server and your JS tools. Most organizations today run some form of network syncing. In this way, the data from the server is readily accessed over their desktops. As a client-side script, it is possible for users to run visualization scripts right over their desktop. They don’t have to shuttle their data across multiple servers to meet their objectives.
Integration is also among the challenges. According to Sunil Hans, the Managing Director of Adeptia, a company that offers data integration solutions, ETL platforms that are built with developers in mind could be confusing to business users. Centralized management lets ETL integration happen without heavy coding. This improves agility among business teams.
Written by Anand Srinivasan.