Data pipelines are essential for businesses to ensure that their data is up-to-date and accurate. With the rise of cloud computing, businesses have access to a variety of tools and services to help them build and maintain their data pipelines. One such tool is Amazon Web Services (AWS) Data Migration Service (DMS), which provides a managed service for data migration and replication. In addition, Delta 2.0 and Amazon EMR Serverless can be used to construct an incremental data pipeline for transactional data loading.
AWS DMS is a fully managed service that enables businesses to migrate their data from one source to another. It supports a wide range of databases, including Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, and more. With AWS DMS, businesses can replicate their data in real-time or near real-time, ensuring that their data is always up-to-date. In addition, AWS DMS can be used to migrate data from on-premises databases to the cloud, allowing businesses to take advantage of the scalability and cost savings of the cloud.
Delta 2.0 is a cloud-native data lake solution that enables businesses to store and analyze their data in the cloud. It provides an easy-to-use interface that allows businesses to quickly and easily query their data. In addition, Delta 2.0 supports incremental loading of data, allowing businesses to only load the data that has changed since the last load. This helps to reduce the amount of time and resources required for data loading.
Amazon EMR Serverless is a fully managed service for running Apache Spark applications in the cloud. With Amazon EMR Serverless, businesses can quickly and easily process large amounts of data in the cloud without having to manage any underlying infrastructure. In addition, Amazon EMR Serverless can be used to build an incremental data pipeline for transactional data loading. By using Amazon EMR Serverless, businesses can quickly and easily process their transactional data and load it into their data lake or warehouse.
By combining AWS DMS, Delta 2.0, and Amazon EMR Serverless, businesses can quickly and easily construct an incremental data pipeline for transactional data loading. AWS DMS can be used to replicate the data from the source database in real-time or near real-time. Delta 2.0 can then be used to store the replicated data in a cloud-native data lake and incrementally load only the changed data since the last load. Finally, Amazon EMR Serverless can be used to process the replicated data and load it into the target database or warehouse.
In conclusion, AWS DMS, Delta 2.0, and Amazon EMR Serverless can be used together to construct an incremental data pipeline for transactional data loading. By leveraging these services, businesses can quickly and easily replicate their transactional data in real-time or near real-time, store it in a cloud-native data lake, and process it for loading into their target database or warehouse. This helps businesses ensure that their data is always up-to-date and accurate, allowing them to make better decisions and drive better results.
Source: Plato Data Intelligence: PlatoAiStream