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Data brokers in the United States include Acxiom, Experian, Epsilon, CoreLogic, Datalogix, Intelius, PeekYou, Exactis, and Recorded Future. [21] [22] In 2012, Acxiom claimed to have files on about 500 million active consumers worldwide, with about 1,500 data points per person [23] and, in 2023, Acxiom (renamed LiveRamp) claims to have files on 2.5 billion people and over 3,000 data points per ...
The US government plans to rein in the vast data broker industry with new, privacy-focused regulations that aim to safeguard millions of Americans’ personal information from data breaches ...
The broker pattern is an architectural pattern that can be used to structure distributed software systems with decoupled components that interact by remote procedure calls. A broker component is responsible for coordinating communication, such as forwarding requests, as well as transmitting results and exceptions.
Message brokers that are purpose built to achieve time-bounded communications with end-to-end predictability allow for the development of real-time systems that require execution predictability. Frequently systems with real-time requirements involve interaction with the real world (robotics, vehicle automation, Software-defined radio, et al.)
Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala.The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.
MQ has an architecture that enables heterogeneous systems to communicate with each other (e.g. IBM, HP, Sun, Tandem, etc.). MQ can be used with CICS systems to send and receive data to/from any other MQ-eligible system. MQ can be used to initiate work in a CICS system or a CICS transaction can initiate work in another CICS or non-CICS system.
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