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Open Source - OpenStack

OpenStack
Authored by Last updated on 07/13/2018 - 14:32
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开源 - OpenStack

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Authored by Last updated on 07/13/2018 - 14:32
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Hadoop 0.22.0 及其 RAID 部署

        使用0.20.X系列版本的Hadoop快有一年时间了,主要集中在HDFS上。期间自己参与了部署Hadoop集群(1 Server + 20 PC),也参与了分析HDFS的源码。

Authored by Last updated on 01/24/2019 - 16:00
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Intel Keynote and Intel technical presentations at Spark Summit West 2015

To find new trends and strong patterns from large complex data sets, a strong analytics foundation is needed. Intel is working closely with Databricks, AMPLab, Spark community and its ecosystem to advance these analytics capabilities…
Authored by Mike P. (Intel) Last updated on 06/07/2017 - 09:33
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What is Intel® DAAL?

The Intel® Data Analytics Acceleration Library (Intel® DAAL) is the library of Intel® Architecture optimized building blocks covering all data analytics stages: data acquisition from a data source, preprocessing, transformation, data mining, modeling, validation, and decision making. To achieve best performance on a range of Intel® processors, Intel DAAL uses optimized algorithms from the Intel®...
Authored by Vipin Kumar E K (Intel) Last updated on 10/08/2018 - 06:30
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How to Use Intel® DAAL in Java Applications

Intel® Data Analytics Acceleration Library (Intel® DAAL) provides a Java API and the ease-of-use for Java programmers. This article discusses how to build and run applications with the Eclipse IDE (one of the most popular Java IDEs). The procedures outlined in this article should also be applicable to other Java IDEs. If you want to build and run Java applications from the command line, see...
Authored by Zhang, Zhang (Intel) Last updated on 10/03/2018 - 07:24
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A Walk-Through of Online Processing Using Intel® DAAL

Intel® Data Analytics Acceleration Library (Intel® DAAL) is a new highly optimized library targeting data mining, statistical analysis, and machine learning applications. It provides advanced building blocks supporting all data analysis stages. Intel DAAL supports three processing modes, batch processing, online processing, and distributed processing. Online processing, a.k.a. streaming, is...
Authored by Zhang, Zhang (Intel) Last updated on 06/07/2017 - 10:33
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A Walk-Through of Distributed Processing Using Intel® DAAL

Intel® Data Analytics Acceleration Library (Intel® DAAL) is a new highly optimized library targeting data mining, statistical analysis, and machine learning applications. It provides advanced building blocks supporting all data analysis stages (preprocessing, transformation, analysis, modeling, decision making) for offline, streaming and distributed analytics usages. Intel DAAL support...
Authored by Ying H. (Intel) Last updated on 10/04/2018 - 04:16
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Intel® Parallel Computing Center at Georgia Institute of Technology

The Intel® Parallel Computing Center (Intel® PCC) on Big Data in Biosciences and Public Health is focused on developing and optimizing parallel algorithms and software on Intel® Xeon® Processor and Intel® Xeon Phi™ Coprocessor systems for handling high-throughput DNA sequencing data and gene expression data.
Authored by admin Last updated on 11/14/2017 - 08:27
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Installing Apache Zeppelin* on Cloudera Distribution of Hadoop*

Apache Zeppelin* is a new web-based notebook that enables data-driven, interactive data analytics, and visualization with the added bonus of supporting multiple languages, including Python*, Scala*, Spark SQL, Hive*, Shell, and Markdown. Zeppelin also provides Apache Spark* integration by default, making use of Spark’s fast in-memory, distributed, data processing engine to accomplish data science...
Authored by Last updated on 06/07/2017 - 10:40