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  2. 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 .

  3. AWS Cloud Development Kit - Wikipedia

    en.wikipedia.org/wiki/AWS_Cloud_Development_Kit

    To get started with AWS CDK, developers need to install the AWS CDK Toolkit, which provides a command-line interface (CLI) for creating and managing AWS CDK projects. [17] The CLI can be installed using the Node.js package manager or any compatible package manager. Once the AWS CDK Toolkit is installed, developers can create a new AWS CDK ...

  4. Amazon DynamoDB - Wikipedia

    en.wikipedia.org/wiki/Amazon_DynamoDB

    Amazon DynamoDB does not natively support join operations, as it is a NoSQL database optimized for single-table, high-performance access patterns. However, join-like operations can be achieved through integrations with external tools such as Amazon EMR, Amazon Athena, and Apache Spark.

  5. Amazon Web Services - Wikipedia

    en.wikipedia.org/wiki/Amazon_Web_Services

    Early AWS "building blocks" logo along a sigmoid curve depicting recession followed by growth. [citation needed]The genesis of AWS came in the early 2000s. After building Merchant.com, Amazon's e-commerce-as-a-service platform that offers third-party retailers a way to build their own web-stores, Amazon pursued service-oriented architecture as a means to scale its engineering operations, [15 ...

  6. Dynamo (storage system) - Wikipedia

    en.wikipedia.org/wiki/Dynamo_(storage_system)

    It has properties of both databases and distributed hash tables (DHTs). It was created to help address some scalability issues that Amazon experienced during the holiday season of 2004. [ 2 ] By 2007, it was used in Amazon Web Services , such as its Simple Storage Service (S3).

  7. Amazon SageMaker - Wikipedia

    en.wikipedia.org/wiki/Amazon_SageMaker

    Regardless of which level of abstraction is used, a developer can connect their SageMaker-enabled ML models to other AWS services, such as the Amazon DynamoDB database for structured data storage, [9] AWS Batch for offline batch processing, [9] [10] or Amazon Kinesis for real-time processing.

  8. Presto (SQL query engine) - Wikipedia

    en.wikipedia.org/wiki/Presto_(SQL_query_engine)

    Presto (including PrestoDB, and PrestoSQL which was re-branded to Trino) is a distributed query engine for big data using the SQL query language. Its architecture allows users to query data sources such as Hadoop, Cassandra, Kafka, AWS S3, Alluxio, MySQL, MongoDB and Teradata, [1] and allows use of multiple data sources within a query.

  9. zstd - Wikipedia

    en.wikipedia.org/wiki/Zstd

    It was also used to create a proof-of-concept OpenZFS compression method [8] which was integrated in 2020. [21] The AWS Redshift and RocksDB databases include support for field compression using Zstandard. [22] In March 2018, Canonical tested [23] the use of zstd as a deb package compression method by default for the Ubuntu Linux distribution.