HADOOP. Integration in IBM, Microsoft, and SAS (ePub)
(Sprache: Englisch)
Hadoop is shipped as part of IBM tools, SQL Server and SAS applications. Hadoop is shipped as part of the IBM InfoSphere BigInsights (BigInsights) platform. Quite simply, BigInsights embraces, hardens, and extends the Hadoop open source framework with...
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Hadoop is shipped as part of IBM tools, SQL Server and SAS applications. Hadoop is shipped as part of the IBM InfoSphere BigInsights (BigInsights) platform. Quite simply, BigInsights embraces, hardens, and extends the Hadoop open source framework with enterprise-grade security, governance, availability, integration into existing data stores, tooling that simplifies and improves developer productivity, scalability, analytic toolkits, and more. BigInsights is (and will always be) based on the nonforked core Hadoop distribution, and backwards compatibility.
Hadoop is also shipped as part of SAS tools. SAS incorporated Hadoop into their applications (SAS Base, SAS Data Integration, Sas Enterpris Guide and SAS Enterprise Miner). Same SAS aplications works in-memory on Hadoop (In-memory Statistics, SAS Visual Analytics and SAS Visual Statistics).
Finaly, Hadoop is also shipped as part of Microsoft SQL Server 2014 and HDInsight. SQL Server works in-memory across Hadoop. HDInsight is a Hadoop-based platform that you can use to process data of all kinds in the cloud. In particular, HDInsight is useful for processing high volumes of structured and unstructured data
Hadoop is also shipped as part of SAS tools. SAS incorporated Hadoop into their applications (SAS Base, SAS Data Integration, Sas Enterpris Guide and SAS Enterprise Miner). Same SAS aplications works in-memory on Hadoop (In-memory Statistics, SAS Visual Analytics and SAS Visual Statistics).
Finaly, Hadoop is also shipped as part of Microsoft SQL Server 2014 and HDInsight. SQL Server works in-memory across Hadoop. HDInsight is a Hadoop-based platform that you can use to process data of all kinds in the cloud. In particular, HDInsight is useful for processing high volumes of structured and unstructured data
Bibliographische Angaben
- Autor: J. Cook
- 2021, Englisch
- Verlag: Lulu.com
- ISBN-10: 1008980374
- ISBN-13: 9781008980372
- Erscheinungsdatum: 01.04.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 6.30 MB
- Ohne Kopierschutz
Sprache:
Englisch
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