Data pipelines are an essential part of any organization’s data infrastructure. They enable organizations to move data from one system to another and keep data up-to-date. However, traditional data pipelines can be time-consuming and expensive to maintain. AWS DMS, Delta 2.0, and Amazon EMR Serverless provide an alternative solution for loading transactional data changes incrementally.
AWS Database Migration Service (DMS) is a fully managed service that makes it easy to migrate databases from one system to another. It supports both homogenous and heterogeneous migrations, meaning it can move data between different types of databases. AWS DMS also supports incremental data loading, meaning it can detect and migrate only the changes made to the source database since the last migration. This makes it ideal for loading transactional data changes incrementally.
Delta 2.0 is a new feature of AWS DMS that makes it easier to keep data up-to-date. It uses a log-based change data capture (CDC) approach to detect and capture changes in the source database. It then replicates those changes to the target database, ensuring that the target database is always up-to-date with the source database. Delta 2.0 also supports incremental loading, making it ideal for loading transactional data changes incrementally.
Amazon EMR Serverless is a fully managed service that makes it easy to run Apache Spark applications in the cloud. It supports both batch and streaming workloads, and can be used to process large amounts of data quickly and efficiently. Amazon EMR Serverless also supports incremental loading, meaning it can detect and process only the changes made to the source data since the last processing run. This makes it ideal for loading transactional data changes incrementally.
Using AWS DMS, Delta 2.0, and Amazon EMR Serverless together provides an efficient and cost-effective solution for loading transactional data changes incrementally. It allows organizations to keep their data up-to-date without having to manually manage complex data pipelines. This makes it an ideal solution for organizations looking to streamline their data infrastructure and reduce costs.
Source: Plato Data Intelligence: PlatoAiStream