Building ETL solutions may be challenging, but you can leave it to us! Our specialists are experienced in Azure components.
ETL is an acronym that stands for extract, transform, and load. It is a widely used approach for organisations to aggregate data from many systems into a single database. Businesses may gain timely and secure access to a bigger number of their data sources by utilising data lakes. Databricks, on which we base our work, provides a consistent platform for all of your business data, making it easier for data analysts and data engineers to use.
Data lakes allow the storage of relational data, such as operational databases, as well as data from line-of-business apps. Data lakes are a cost-effective solution to run big data workloads. The system is scalable to run big data workloads. The system scales up or down and because of that, with ETL solutions based on Azure Databricks your business can become more efficient.