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Copy file name to clipboardExpand all lines: docs/modules/ROOT/pages/glossary.adoc
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ETL:: Extract transform load is a <<data-pipeline, data pipeline>> pattern for collecting data from various sources, transforming (changing) it to conform to some rules, and loading it into a sink.
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[[flow]]Flow:: Hazelcast Flow is a data gateway that automates the integration of microservices across an enterprise.
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Flow accelerates application development by connecting multiple data sources and APIs together, without having to write integration code.
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Garbage collection:: The recovery of storage that is being used by an application when that application no longer needs the storage.
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This frees the storage for use by other applications (or processes within an application).
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It also ensures that an application using increasing amounts of storage does not reach its quota.
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Multicast:: A type of communication in which data is sent to a defined group of destination members simultaneously (one to many).
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Distinct from unicast (one to one) and broadcast (one to all).
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Mutation:: In Hazelcast <<flow, Flow>>, mutation queries make changes; for example, in performing a task or updating a record.
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Near cache:: A caching model where an object retrieved from a remote member is put into the local cache and the future requests made to this object will be handled by this local member.
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NoSQL:: "Not Only SQL". A database model that provides a mechanism for storage and retrieval of data that is tailored in means other than the tabular relations used in relational databases.
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PKCE:: Proof Key for Code Exchange. An extension used in OAuth 2.0 to improve security for public clients.
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Projection:: In Hazelcast <<flow, Flow>>, projections are a way of taking data from one place, and then transforming and combining it with other data sources.
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Publish/subscribe:: A software architecture model by which applications create and share data. Pub/sub is particularly popular in serverless and microservices architectures.
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Query:: A request built using Hazelcast <<flow, Flow>>'s ability to retrieve and analyze data from different sources across an ecosystem.
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For example, a query might combine three services together: a database, API and Kafka streaming data.
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Race condition:: This condition occurs when two or more threads can access shared data and they try to change it at the same time.
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Real-time database:: A data store designed to collect, process, and/or enrich an incoming series of data points (i.e., a data stream) in real time, typically immediately after the data is created.
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Streaming ETL (Extract, Transform, Load):: The processing and movement of real-time data from one place to another.
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[[taxi]]
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TaxiQL:: In Hazelcast <<flow, Flow>>,Taxi is a simple query language for describing how data and APIs across an ecosystem relate to one another.
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Taxonomy:: The practice of classifying and categorizing data.
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Time to live (TTL):: A value that determines how long data is retained, before it is discarded from internal cache.
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and capture the context and semantic meaning of qualitative unstructured data that doesn't follow conventional models, including multimedia,
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textual, geospatial, and Internet of Things (IoT) data.
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Workspace:: A Hazelcast <<flow, Flow>> Workspace is a collection of schemas, API specs and <<taxi, Taxi>> projects that describe data sources and provide a description of the data and capabilities they provide.
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