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Microservices discussion from the CASCON 2016 workshop on cloud microservices. This session discusses some of the particular challenges (along with the profound benefits) of microservices for cloud data services that can have large amounts of stateful data such as big data clusters, data warehouses, transactional repositories, key-value stores, NoSQL repositories etc.
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Contenu connexe
En vedette
An introduction to SuperO Desktop/Gaming Hardware Solutions. -built by Supermicro-
SuperO Desktop gaming solutions -by Supermicro
SuperO Desktop gaming solutions -by Supermicro
Joost van Leeuwen
Big data means really a big data, it is a collection of large datasets that cannot be processed using traditional computing techniques. Big data is not merely a data, rather it has become a complete subject, which involves various tools, technqiues and frameworks.
Big data hadoop
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Multisoft Virtual Academy
Venez essayer notre Flying Phantom entre amis ou avec vos meilleurs collaborateurs sur les lacs Léman, du Bourget et d'Annecy. Nous sommes une association sportive locale et pour financer notre saison sportive, nous organisons des séminaires qui permettent à la fois de renforcer le sentiment d'appartenance et la cohésion d'équipe auprès de vos meilleurs collaborateurs.
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jul447ie
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Power consumption in computing gets more and more attention. How can we reduce it, save money on variable business cost and be \'Green\'? This white paper will shed some new light on the matter.
Whitepaper SSDs And Energy Efficiency
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mooke
Data integration in the big data world can be very complex. When using the MapR Distribution including Apache Hadoop as an integral component of your enterprise architecture, there is still the need to work with existing systems such as MPP data warehouses and traditional data repositories. Moving data from these sources to MapR needs to be efficient, and leveraging the processing capabilities of Hadoop to transform data is critical.
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Sandy Ryza
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White paper making an-operational_data_store_(ods)_the_center_of_your_data_...
White paper making an-operational_data_store_(ods)_the_center_of_your_data_...
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Cloudera's Mark Grover presents Application Architectures with Hadoop at Data Day Texas 2015.
Application Architectures with Hadoop | Data Day Texas 2015
Application Architectures with Hadoop | Data Day Texas 2015
Cloudera, Inc.
Genomics is upon us, made possible by big data and the technologies designed to support it. Doctors, who historically used clinical data, and researchers, who historically used genomic data, are now increasingly focused on analyzing the same single data set: introducing the opportunity to share bodies of knowledge, fostering collaborative innovation, and driving toward higher standards of care. However, this data is enormous – volumes of genomic data are expected to reach two to four exabytes per year by 2025, yet the cost of genetic sequencing has decreased 100-fold over the past 10 years. Cloudera is helping solve the big data problem with its Apache Hadoop-based platform for large-scale data processing, discovery, and analytics; putting precision medicine within reach.
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En vedette
(15)
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Application Architectures with Hadoop | Data Day Texas 2015
Application Architectures with Hadoop | Data Day Texas 2015
A Modern Data Strategy for Precision Medicine
A Modern Data Strategy for Precision Medicine
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