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AWS DMS Transform Data

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AWS DMS Transform Data

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  1. Data Transformation Services of AWS DMS

  2. Amazon Web Service Database Migration Service (AWS DMS) is based in the cloud and allows seamless migration of data warehouses, relational databases, NoSQL databases, and others. It is also a very effective tool for migrating data from on-premises databases to the cloud, from one cloud provider to another, and from the cloud to on-premises databases. The last possibility is generally ruled out because of the many benefits that the cloud has to offer over on-premises databases. • AWS DMS also facilitates single-time migration or data replication so that the data at source and the target are always synchronized. All the benefits of the Amazon Web Service like security, flexibility, and cost efficiencies are also available in the AWS DMS as both are an integral part of the AWS cloud environment.

  3. AWS DMS transform dataservices support a variety of transformation capabilities. In the latest 3.1.3 version of the AWS Database Migration Service, you can change schema and table, column names, and specify specific tablespace names for Oracle targets. You can also update the primary and the unique key of a table on any target. • Here are some of the features that are supported by the new version of AWSDMS transform data that enables more flexibilities and capabilities. · Explicit table mapping · Transformation of the rules for tablespaces for both source and target of Oracle · Transformation rules for index tablespaces for Oracle source and target · Defining the primary or unique key index · Data type modification of the target column One of the benefits of the AWS DMS transform data feature is that it allows explicit table selection performance which in turn facilitates explicit table mapping rules. This helps to select a particular source table for transformation to support DMS targets.

  4. To transform data through AWS DMS effectively and seamlessly and to simplify data management and data analytics by transforming data from various sources to a single database, it is necessary to use the most advanced tools. The best in the class tool for AWS DMS transform dataprocess is ETL. The components of ETL tools are as follows. · Extract (E) – Extracting the required data from Heterogeneous or Homogeneous Data sets. · Transform (T) – Transforming or modifying the extracted data to match the data structures supported by the target storage database. · Load – Migrating data to the target data warehouse or data marts. In traditional database solutions, it was necessary to go through a tedious migration process. But AWS DMS automatically deploys, manages, and monitors all hardware and software that are needed for the migration.With AWS DMS ETLtools, users can scale up or down the required migration resources to match database workloads. If extra resources are needed, the storage facilities can be increased during the migration process. Choosing the right AWS DMS ETLtool to AWS DMS transform data is critical as it determines how well the data pipeline works in an organization.

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