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Statements

Subject Item: dbr:Vadalog
dbo:wikiPageWikiLink: dbr:Streaming_data

Subject Item: dbr:Conflict-free_replicated_data_type
dbo:wikiPageWikiLink: dbr:Streaming_data

Subject Item: dbr:MonetDB
dbo:wikiPageWikiLink: dbr:Streaming_data

Subject Item: dbr:The_Life_of_Pablo
dbo:wikiPageWikiLink: dbr:Streaming_data

Subject Item: dbr:Adaptive_coding
dbo:wikiPageWikiLink: dbr:Streaming_data

Subject Item: dbr:Dynamic_data
dbo:wikiPageWikiLink: dbr:Streaming_data

Subject Item: dbr:Aspera_(company)
dbo:wikiPageWikiLink: dbr:Streaming_data

Subject Item: dbr:Digital_signal_processing
dbo:wikiPageWikiLink: dbr:Streaming_data

Subject Item: dbr:Artificial_Intelligence_for_IT_Operations
dbo:wikiPageWikiLink: dbr:Streaming_data

Subject Item: dbr:Social_media_analytics
dbo:wikiPageWikiLink: dbr:Streaming_data

Subject Item: dbr:Nanex
dbo:wikiPageWikiLink: dbr:Streaming_data
dbp:services: dbr:Streaming_data
dbo:service: dbr:Streaming_data

Subject Item: dbr:Microsoft_Point-to-Point_Compression
dbo:wikiPageWikiLink: dbr:Streaming_data

Subject Item: dbr:Neural_gas
dbo:wikiPageWikiLink: dbr:Streaming_data

Subject Item: dbr:Zoomdata
dbo:wikiPageWikiLink: dbr:Streaming_data

Subject Item: dbr:Streaming_data
rdfs:label: Streaming data
rdfs:comment: Streaming data is data that is continuously generated by different sources. Such data should be processed incrementally using stream processing techniques without having access to all of the data. In addition, it should be considered that concept drift may happen in the data which means that the properties of the stream may change over time. It is usually used in the context of big data in which it is generated by many different sources at high speed.
dcterms:subject: dbc:Computing_terminology dbc:Computer_data dbc:Inter-process_communication dbc:Wireless_networking
dbo:wikiPageID: 11507946
dbo:wikiPageRevisionID: 1112284686
dbo:wikiPageWikiLink: dbr:Netflix dbr:Amazon_(company) dbr:Technological_convergence dbr:IOS dbr:Stream_processing dbr:IBM dbr:Cloud_computing dbr:United_Parcel_Service dbr:Big_data dbc:Computer_data dbr:Music_industry dbr:Twitter dbc:Inter-process_communication dbr:Spotify dbr:Data_stream dbr:Concept_drift dbr:Facebook dbr:Marginal_cost dbc:Wireless_networking dbr:Popcorn_time dbr:Digital_transformation dbr:Record_label dbr:Data_lake dbc:Computing_terminology dbr:Digitizing
dbo:wikiPageExternalLink: n10:_1451.htm
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dbo:abstract: Streaming data is data that is continuously generated by different sources. Such data should be processed incrementally using stream processing techniques without having access to all of the data. In addition, it should be considered that concept drift may happen in the data which means that the properties of the stream may change over time. It is usually used in the context of big data in which it is generated by many different sources at high speed. Data streaming can also be explained as a technology used to deliver content to devices over the internet, and it allows users to access the content immediately, rather than having to wait for it to be downloaded. Big data is forcing many organizations to focus on storage costs, which brings interest to data lakes and data streams. A data lake refers to the storage of a large amount of unstructured and semi data, and is useful due to the increase of big data as it can be stored in such a way that firms can dive into the data lake and pull out what they need at the moment they need it. Whereas a data stream can perform real-time analysis on streaming data, and it differs from data lakes in speed and continuous nature of analysis, without having to store the data first.
prov:wasDerivedFrom: wikipedia-en:Streaming_data?oldid=1112284686&ns=0
dbo:wikiPageLength: 21829
foaf:isPrimaryTopicOf: wikipedia-en:Streaming_data

Subject Item: wikipedia-en:Streaming_data
foaf:primaryTopic: dbr:Streaming_data