Incremental data loading is a process of loading only the most recent data into a data warehouse or other data storage system. This process helps to reduce the amount of time and resources required to keep the data up-to-date, as only new data needs to be loaded. With the help of AWS DMS, Delta 2.0, and Amazon EMR Serverless, incremental data loading has become easier and more efficient than ever.
AWS Database Migration Service (DMS) is a fully managed service that helps to migrate databases from one platform to another. It supports both homogenous and heterogeneous migrations, and can be used to migrate data from on-premises databases to the cloud. With AWS DMS, incremental data loading is made easier by allowing users to replicate only the most recent changes from the source database to the target database.
Delta 2.0 is an open source framework for building data pipelines. It enables users to quickly and easily build pipelines for ingesting, transforming, and loading data into a data warehouse or other data storage system. With Delta 2.0, users can easily set up incremental data loading by configuring the pipeline to only load the most recent changes from the source database.
Amazon EMR Serverless is a fully managed service that allows users to quickly and easily spin up clusters of compute nodes for processing big data workloads. With Amazon EMR Serverless, users can set up an incremental data loading pipeline by running an EMR cluster with the necessary software and scripts to ingest, transform, and load only the most recent changes from the source database.
Incremental data loading is a great way to reduce the amount of time and resources required to keep a data warehouse or other data storage system up-to-date. With the help of AWS DMS, Delta 2.0, and Amazon EMR Serverless, it has become easier and more efficient than ever to set up an incremental data loading pipeline.
Source: Plato Data Intelligence: PlatoAiStream