Kafka (software)
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Kafka (software)
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. Kafka can connect to external systems (for data import/export) via Kafka Connect, and provides the Kafka Streams libraries for stream processing applications. Kafka uses a binary TCP-based protocol that is optimized for efficiency and relies on a "message set" abstraction that naturally groups messages together to reduce the overhead of the network roundtrip. This "leads to larger network packets, larger sequential disk operations, contiguous memory blocks ..which allows Kafka to turn a bursty stream of random message writes into linear writes." History Kafka was originally developed at LinkedIn, and was subsequently open sourced in early 2011. Jay Kreps, Neha Narkhede and Jun Rao helped co-create ...
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LinkedIn
LinkedIn () is an American business and employment-oriented online service that operates via websites and mobile apps. Launched on May 5, 2003, the platform is primarily used for professional networking and career development, and allows job seekers to post their CVs and employers to post jobs. From 2015 most of the company's revenue came from selling access to information about its members to recruiters and sales professionals. Since December 2016, it has been a wholly owned subsidiary of Microsoft. LinkedIn has 830+ million registered members from over 200 countries and territories. LinkedIn allows members (both workers and employers) to create profiles and connect with each other in an online social network which may represent real-world professional relationships. Members can invite anyone (whether an existing member or not) to become a connection. LinkedIn can also be used to organize offline events, join groups, write articles, publish job postings, post photos and vide ...
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Apache Incubator
Apache Incubator is the gateway for open-source projects intended to become fully fledged Apache Software Foundation projects. The Incubator project was created in October 2002 to provide an entry path to the Apache Software Foundation for projects and codebases wishing to become part of the Foundation's efforts. All code donations from external organizations and existing external projects wishing to move to Apache must enter through the Incubator. The Apache Incubator project serves on the one hand as a temporary container project until the incubating project is accepted and becomes a top-level project of the Apache Software Foundation or becomes subproject of a proper project such as the Jakarta Project or Apache XML. On the other hand, the Incubator project documents how the Foundation works, and how to get things done within its framework. This means documenting process, roles and policies within the Apache Software Foundation and its member projects. See also * List of Apa ...
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Apache NiFi
Apache NiFi is a software project from the Apache Software Foundation designed to automate the flow of data between software systems. Leveraging the concept of extract, transform, load (ETL), it is based on the "''NiagaraFiles''" software previously developed by the US National Security Agency (NSA), which is also the source of a part of its present name – ''NiFi''. It was open-sourced as a part of NSA's technology transfer program in 2014. The software design is based on the flow-based programming model and offers features which prominently include the ability to operate within clusters, security using TLS encryption, extensibility (users can write their own software to extend its abilities) and improved usability features like a portal which can be used to view and modify behaviour visually. Software development and commercial support is currently offered by Hortonworks (now merged into Cloudera), who acquired NiFi's originator, Onyara Inc. Components NiFi is a Ja ...
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Apache Storm
Apache Storm is a distributed stream processing computation framework written predominantly in the Clojure programming language. Originally created by Nathan Marz and team at BackType, the project was open sourced after being acquired by Twitter. It uses custom created "spouts" and "bolts" to define information sources and manipulations to allow batch, distributed processing of streaming data. The initial release was on 17 September 2011. A Storm application is designed as a "topology" in the shape of a directed acyclic graph (DAG) with spouts and bolts acting as the graph vertices. Edges on the graph are named streams and direct data from one node to another. Together, the topology acts as a data transformation pipeline. At a superficial level the general topology structure is similar to a MapReduce job, with the main difference being that data is processed in real time as opposed to in individual batches. Additionally, Storm topologies run indefinitely until killed, while a MapR ...
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Apache Spark
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance. Originally developed at the University of California, Berkeley's AMPLab, the Spark codebase was later donated to the Apache Software Foundation, which has maintained it since. Overview Apache Spark has its architectural foundation in the resilient distributed dataset (RDD), a read-only multiset of data items distributed over a cluster of machines, that is maintained in a fault-tolerant way. The Dataframe API was released as an abstraction on top of the RDD, followed by the Dataset API. In Spark 1.x, the RDD was the primary application programming interface (API), but as of Spark 2.x use of the Dataset API is encouraged even though the RDD API is not deprecated. The RDD technology still underlies the Dataset API. Spark and its RDDs were developed in 2012 in response to limitations in the M ...
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Apache Flink
Apache Flink is an open-source, unified stream-processing and batch-processing framework developed by the Apache Software Foundation. The core of Apache Flink is a distributed streaming data-flow engine written in Java and Scala. Flink executes arbitrary dataflow programs in a data-parallel and pipelined (hence task parallel) manner. Flink's pipelined runtime system enables the execution of bulk/batch and stream processing programs. Furthermore, Flink's runtime supports the execution of iterative algorithms natively. Flink provides a high-throughput, low-latency streaming engine as well as support for event-time processing and state management. Flink applications are fault-tolerant in the event of machine failure and support exactly-once semantics. Programs can be written in Java, Scala, Python, and SQL and are automatically compiled and optimized into dataflow programs that are executed in a cluster or cloud environment. Flink does not provide its own data-storage ...
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Apache Beam
Apache Beam is an open source unified programming model to define and execute data processing pipelines, including ETL, batch and stream (continuous) processing. Beam Pipelines are defined using one of the provided SDKs and executed in one of the Beam’s supported ''runners'' (distributed processing back-ends) including Apache Flink, Apache Samza, Apache Spark, and Google Cloud Dataflow. History Apache Beam is one implementation of the Dataflow model paper. The Dataflow model is based on previous work on distributed processing abstractions at Google, in particular on FlumeJava and Millwheel. Google released an open SDK implementation of the Dataflow model in 2014 and an environment to execute Dataflows locally (non-distributed) as well as in the Google Cloud Platform service. Timeline Apache Beam makes minor releases every 6 weeks. See also *List of Apache Software Foundation projects This list of Apache Software Foundation projects contains the software development proj ...
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Apache Apex
Apache Apex is a YARN-native platform that unifies stream and batch processing. It processes big data-in-motion in a way that is scalable, performant, fault-tolerant, stateful, secure, distributed, and easily operable. Apache Apex was named a top-level project by The Apache Software Foundation on April 25, 2016. As of September 2019, it is no longer actively developed. Overview Apache Apex is developed under the Apache License 2.0. The project was driven by the San Jose, California-based start-up company DataTorrent. There are two parts of Apache Apex: Apex Core and Apex Malhar. Apex Core is the platform or framework for building distributed applications on Hadoop. The core Apex platform is supplemented by Malhar, a library of connector and logic functions, enabling rapid application development. These input and output operators provide templates to sources and sinks such as Alluxio, S3, HDFS, NFS, FTP, Kafka, ActiveMQ, RabbitMQ, JMS, Cassandra, MongoDB, Redis, HBase, Couc ...
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Overview Of Apache Kafka
Overview may refer to: * Overview article, an artícle that summarizes the current state of understanding on a topic * Overview map, generalised view of a geographic area See also * Summary (other) * Outline (list) * ''A Brief Overview'' * Overview and Scrutiny * Overview effect The overview effect is a cognitive shift reported by some astronauts while viewing the Earth from space. Researchers have characterized the effect as "a state of awe with self-transcendent qualities, precipitated by a particularly striking vis ...
* * {{disambiguation ...
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British Gas
British Gas (trading as Scottish Gas in Scotland) is an energy and home services provider in the United Kingdom. It is the trading name of British Gas Services Limited and British Gas New Heating Limited, both subsidiaries of Centrica. Serving around twelve million homes in the United Kingdom, British Gas is the biggest energy supplier in the country, and is considered one of the Big Six dominating the gas and electricity market in the United Kingdom. History 1812–1948 The Gas Light and Coke Company was the first public utility company in the world. It was founded by Frederick Albert Winsor and incorporated by Royal Charter on 30 April 1812 under the seal of King George III. It continued to thrive for the next 136 years, expanding into domestic services whilst absorbing many smaller companies including the Aldgate Gas Light and Coke Company (1819), the City of London Gas Light and Coke Company (1870), the Equitable Gas Light Company (1871), the Great Central Gas Consumer' ...
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Predictive Maintenance
Predictive maintenance techniques are designed to help determine the condition of in-service equipment in order to estimate when maintenance should be performed. This approach promises cost savings over routine or time-based preventive maintenance, because tasks are performed only when warranted. Thus, it is regarded as condition-based maintenance carried out as suggested by estimations of the degradation state of an item. The main promise of predictive maintenance is to allow convenient scheduling of corrective maintenance, and to prevent unexpected equipment failures. The key is "the right infor equipment lifetime, increased plant safety, fewer accidents with negative impact on environment, and optimized spare parts handling. Predictive maintenance differs from preventive maintenance because it relies on the actual condition of equipment, rather than average or expected life statistics, to predict when maintenance will be required. Typically, Machine Learning approaches are ado ...
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Uber
Uber Technologies, Inc. (Uber), based in San Francisco, provides mobility as a service, ride-hailing (allowing users to book a car and driver to transport them in a way similar to a taxi), food delivery (Uber Eats and Postmates), package delivery, couriers, and freight transportation. Via partnerships with other operators such as Thames Clippers (boats) and Lime (electric bicycles and motorized scooters), users are also able to book other modes of transport through the Uber platform in some locations. Uber sets fares, which vary using a dynamic pricing model based on local supply and demand at the time of the booking and are quoted to the customer in advance, and receives a commission from each booking. It had operations in approximately 72 countries and 10,500 cities as of December 31, 2021. Uber offers many different types of ride options. UberX is the most popular and the standard service of the company. UberXL, Uber Comfort, and Uber Black are other options offered ...
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