Incremental data pipelines are an essential part of any data-driven organization. They allow for the efficient processing of data changes and updates, ensuring that the most up-to-date information is available to users. In order to create these pipelines, organizations must have access to reliable and secure data sources, as well as the tools and technologies necessary to process the data.
AWS Data Migration Service (DMS) is a cloud-based service that enables organizations to quickly and securely migrate data from one source to another. It supports both full and incremental loads, allowing organizations to quickly and easily update their data sources. Additionally, DMS supports a variety of database types, including Oracle, SQL Server, MySQL, PostgreSQL, and Amazon Aurora.
Delta 2.0 is a cloud-based data processing platform that enables organizations to quickly and securely process data changes. It supports both full and incremental loads, allowing organizations to quickly and easily update their data sources. Additionally, Delta 2.0 supports a variety of database types, including Oracle, SQL Server, MySQL, PostgreSQL, and Amazon Aurora.
Amazon EMR Serverless is an Amazon Web Services (AWS) offering that enables organizations to quickly and securely process data changes in the cloud. It supports both full and incremental loads, allowing organizations to quickly and easily update their data sources. Additionally, Amazon EMR Serverless supports a variety of database types, including Oracle, SQL Server, MySQL, PostgreSQL, and Amazon Aurora.
Organizations can use AWS DMS, Delta 2.0, and Amazon EMR Serverless to create incremental data pipelines. By leveraging these services, organizations can quickly and securely migrate data from one source to another, ensuring that their data sources are up-to-date. Additionally, these services support a variety of database types, allowing organizations to easily integrate with their existing systems. By creating an incremental data pipeline with AWS DMS, Delta 2.0, and Amazon EMR Serverless, organizations can ensure that their data sources are up-to-date and secure.
Source: Plato Data Intelligence: PlatoAiStream