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Confluent, Inc. is an American technology company headquartered in Mountain View, California. Confluent was founded by Jay Kreps, Jun Rao and Neha Narkhede on September 23, 2014, in order to commercialize an open-source streaming platform Apache Kafka , created by the same founders while working at LinkedIn in 2008 as a B2B infrastructure company.
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.
Copy Exactly! is a factory strategy model developed by the computer chip manufacturer, Intel, to build new manufacturing facilities with high capacity practices already in place. [1] The Copy Exactly! model allows factories that successfully design and manufacture chips to be replicated in locations globally.
The following is an example: In a manufacturing plant one machine processes 100 parts in 10 hours but the parts coming to the machine in 10 hours is 150. So there is a buildup of inventory. This inventory can be reduced by employing another machine occasionally. Thus we understand the reduction in local inventory buildup.
Neha Narkhede (born 1984 or 1985 [1]) is an American technology entrepreneur and the co-founder and former CTO of Confluent, a streaming data technology company. She co-created the open source software platform Apache Kafka. Narkhede now serves as a board member of Confluent.
This is an accepted version of this page This is the latest accepted revision, reviewed on 28 January 2025. Manufacturing processes This section does not cite any sources.
More specifically, the ISPE's guide The Good Automated Manufacturing Practice (GAMP) Guide for Validation of Automated Systems in Pharmaceutical Manufacture describes a set of principles and procedures that help ensure that pharmaceutical products have the required quality. One of the core principles of GAMP is that quality cannot be tested ...
Examples of technologies used in the serving layer include Apache Druid, Apache Pinot, ClickHouse and Tinybird which provide a single platform to handle output from both layers. [9] Dedicated stores used in the serving layer include Apache Cassandra , Apache HBase , Azure Cosmos DB , MongoDB , VoltDB or Elasticsearch for speed-layer output, and ...