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Schema migration tools can be said to solve versioning problems for database schemas just as version control systems solve versioning problems for source code. In practice, many schema migration tools actually rely on a textual representation of schema changes (such as files containing SQL statements) such that the version history of schema ...
Migrations can be written in SQL (database-specific syntax such as PL/SQL, T-SQL, etc is supported) or Java (for advanced data transformations or dealing with LOBs). It has a command-line client, a Java API (also works on Android ) for migrating the database on application startup, a Maven plugin, and a Gradle plugin.
Amazon Relational Database Service (or Amazon RDS) is a distributed relational database service by Amazon Web Services (AWS). [2] It is a web service running "in the cloud" designed to simplify the setup, operation, and scaling of a relational database for use in applications. [ 3 ]
Amazon Redshift is a data warehouse product which forms part of the larger cloud-computing platform Amazon Web Services. [1] It is built on top of technology from the massive parallel processing (MPP) data warehouse company ParAccel (later acquired by Actian), [2] to handle large scale data sets and database migrations.
Crosswalk tables are often employed within or in parallel to enterprise systems, especially when multiple systems are interfaced or when the system includes legacy system data. In the context of Interfaces, they function as an internal extract, transform, load (ETL) mechanism. For example, this is a metadata crosswalk from MARC standards to ...
Product (data migration) AWS announces an Import/Export service, whereby people can send their storage device to AWS and AWS will upload the data to S3. This is a predecessor of the Snowball service that they would launch in October 2015. [32] 2009: Aug 25: Product (networking)
To prevent data loss, DynamoDB features a two-tier backup system of replication and long-term storage. [30] Each partition features three nodes, each of which contains a copy of that partition's data. Each node also contains two data structures: a B tree used to locate items, and a replication log that notes all changes made to the node.
SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...