Why ETL pipelines are essential for businesses

ETL (Extract, Transform, Load) pipelines are becoming essential to businesses as they help manage massive data sets quickly and efficiently. These pipelines extract data from multiple sources, transform it into a usable format, and load it into a database for reporting, analysis, and business insights. The history of ETL dates back to the 1970s when businesses began storing diverse types of information in multiple databases. Today, cloud-based ETL is increasingly important with advances in Big Data. Companies use ETL pipelines to collect, import, and process data from various sources such as existing databases, cloud infrastructures, CRM systems, and more. The three main processes involved in ETL are extraction, transformation, and loading. Cloud-based ETL solutions offer several benefits over on-premises data management, including scalability, mobile-friendliness, real-time data management, fully managed services, and loss prevention. Use cases for ETL include data warehousing, marketing data integration, machine learning and artificial intelligence, IoT data integration, and cloud migration.