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Kinesis Data Streams is a scalable and durable real-time data streaming service that captures and processes gigabytes of data per second from multiple sources. [8] It enables the storage and processing of data in real time, making it useful for applications that require immediate insights, such as monitoring and alerting.
Beginning at 9:52 am PST the Kinesis Data Streams API became impaired in the US-EAST-1 Region. This prevented customers from reading or writing data. [301] 2021: December 7: Outage: Beginning at 10:45 am PST "an impairment of several network devices" in the US-EAST-1 Region caused widespread errors in all AWS services.
Stream processing is essentially a compromise, driven by a data-centric model that works very well for traditional DSP or GPU-type applications (such as image, video and digital signal processing) but less so for general purpose processing with more randomized data access (such as databases). By sacrificing some flexibility in the model, the ...
Amazon Elastic Compute Cloud; Amazon Kinesis; Ampere Computing; Apache Drill; Apache Hama; Army Chief Information Officer/G-6; Autoscaling; Availability zone; Azure Data Lake; Azure Maps; Azure Stream Analytics
A data stream management system (DSMS) is a computer software system to manage continuous data streams. It is similar to a database management system (DBMS), which is, however, designed for static data in conventional databases. A DBMS also offers a flexible query processing so that the information needed can be expressed using queries.
aws.amazon.com /cdk / The AWS Cloud Development Kit ( AWS CDK ) is an open-source [ 1 ] software development framework developed by Amazon Web Services (AWS) for defining and provisioning cloud infrastructure resources using familiar programming languages. [ 2 ]
An arbitrary number of transformations can be performed on the stream. These streams can be arranged as a directed, acyclic dataflow graph, allowing an application to branch and merge dataflows. Flink offers ready-built source and sink connectors with Apache Kafka, Amazon Kinesis, [19] HDFS, Apache Cassandra, and more. [16]
Dynamo is a set of techniques that together can form a highly available key-value structured storage system [1] or a distributed data store. [1] 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]