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  2. Amazon DynamoDB - Wikipedia

    en.wikipedia.org/wiki/Amazon_DynamoDB

    DynamoDB organizes data into tables, which are similar to spreadsheets. Each table contains items (rows), and each item is made up of attributes (columns). Each item has a unique identifier called a primary key, which helps locate it within the table.

  3. Database abstraction layer - Wikipedia

    en.wikipedia.org/wiki/Database_abstraction_layer

    Database abstraction layers reduce the amount of work by providing a consistent API to the developer and hide the database specifics behind this interface as much as possible. There exist many abstraction layers with different interfaces in numerous programming languages. If an application has such a layer built in, it is called database ...

  4. Database storage structures - Wikipedia

    en.wikipedia.org/wiki/Database_storage_structures

    By contrast, column-oriented DBMS store all data from a given column together in order to more quickly serve data warehouse-style queries. Correlation databases are similar to row-based databases, but apply a layer of indirection to map multiple instances of the same value to the same numerical identifier.

  5. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    To further illustrate, imagine a relational model with two tables: a people table (which has a person_id and person_name column) and a friend table (with friend_id and person_id, which is a foreign key from the people table). In this case, searching for all of Jack's friends would result in the following SQL query.

  6. Amazon Aurora - Wikipedia

    en.wikipedia.org/wiki/Amazon_Aurora

    aws.amazon.com /rds /aurora / Amazon Aurora is a proprietary relational database offered as a service by Amazon Web Services (AWS) since October 2014. [ 1 ] [ 2 ] Aurora is available as part of the Amazon Relational Database Service (RDS).

  7. Amazon Redshift - Wikipedia

    en.wikipedia.org/wiki/Amazon_Redshift

    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.

  8. AWS Glue - Wikipedia

    en.wikipedia.org/wiki/AWS_Glue

    AWS Glue is an event-driven, serverless computing platform provided by Amazon as a part of Amazon Web Services. It was introduced in August 2017. It was introduced in August 2017. [ 2 ]

  9. Amazon Elastic Block Store - Wikipedia

    en.wikipedia.org/wiki/Amazon_Elastic_Block_Store

    Elastic Volumes makes it possible to adapt volume size to an application's current needs, using Amazon CloudWatch and AWS Lambda to automate volume changes. Amazon EBS Encryption encrypts data at rest for EBS volumes and snapshots, without having to manage a separate secure key infrastructure.