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Big data
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big data 大数据 | big data 大数据 | ||
| − | [[Apache Hadoop]] 在大数据领域占据核心位置。 | + | ==简介== |
| + | [[Apache Spark]]、[[Apache Hadoop]] 在大数据领域占据核心位置。 | ||
| + | |||
| + | ==新闻== | ||
| + | *[https://reprints.forrester.com/#/assets/2/220/RES141570/reports The Forrester Wave™: Big Data Fabric, Q2 2018] (June 12, 2018) | ||
| + | |||
| + | ==平台== | ||
| + | *[[CitusDB]] | ||
| + | *[[Greenplum]] | ||
| + | *[[ClickHouse]] | ||
| + | *[[Hortonworks]] HDP | ||
| + | *[[Cloudera]] CDH | ||
| + | |||
| + | ==文档== | ||
| + | *[http://docs.huihoo.com/javaone/2015/CON1534-Stream-Processing-Frameworks-and-Products-as-Game-Changers-for-the-Internet-of-Things.pdf Stream Processing Frameworks and Products as Game Changers for the Internet of Things] | ||
| + | *[http://docs.huihoo.com/javaone/2015/CON3525-Java-Scala-and-Friends-Touring-the-Java-Bedrock-of-Big-Data.pdf Java, Scala, and Friends: Touring the Java Bedrock of Big Data] | ||
| + | *[http://docs.huihoo.com/blackhat/usa-2015/us-15-Gaddam-Securing-Your-Big-Data-Environment.pdf Securing Your Big Data Environment] | ||
| + | *[http://docs.huihoo.com/rsaconference/usa-2014/stu-t07a-securing-the-big-data-ecosystem.pdf Securing the Big Data Ecosystem] | ||
| + | *[http://docs.huihoo.com/rsaconference/usa-2014/spo3-t08-good-guys-vs-bad-guys-using-big-data-to-counteract-advanced-threats.pdf Harnessing Big Data for Application Security Intelligence] | ||
| + | *[http://docs.huihoo.com/rsaconference/usa-2014/stu-r02b-security-business-intelligence-big-data-for-faster-detection-response.pdf Security Business Intelligence– Big Data for Faster Detection/Response] | ||
| + | *[http://docs.huihoo.com/postgresql/pgcon/2012/MADlib-Big-Data-Machine-Learning-in-PostgreSQL.pdf MADlib: Big Data Machine Learning in PostgreSQL] | ||
| + | |||
| + | ==课程== | ||
| + | *[https://courses.edx.org/courses/BerkeleyX/CS100.1x/1T2015/info BerkeleyX: CS100.1x Introduction to Big Data with Apache Spark]、[http://docs.huihoo.com/big-data/introduction-to-big-data-with-apache-spark 讲义下载] | ||
| + | |||
| + | ==图集== | ||
| + | <gallery> | ||
| + | image:big-data-landscape-2016.jpg|Big Data Landscape 2016 | ||
| + | image:big-data.jpg | ||
| + | image:big-data-volume-variety-velocity.png|Volume-Variety-Velocity | ||
| + | image:one-platform-initiative.jpg | ||
| + | image:madlib-architecture.png|MADlib | ||
| + | image:pnda-console.png|PNDA | ||
| + | image:embulk.png|Embulk | ||
| + | </gallery> | ||
| + | |||
| + | ==链接== | ||
| + | *[https://github.com/onurakpolat/awesome-bigdata Awesome Big Data] [[image:awesome.png]] | ||
| + | *[https://github.com/caesar0301/awesome-public-datasets Awesome Public Datasets] [[image:awesome.png]] | ||
| + | *[https://github.com/youngwookim/awesome-hadoop Awesome Hadoop] [[image:awesome.png]] | ||
| + | *[https://github.com/igorbarinov/awesome-data-engineering Awesome Data Engineering] [[image:awesome.png]] | ||
| + | *[https://github.com/izenecloud/big-data-made-easy Big Data Made Easy] | ||
| + | *[http://www.csdn.net/article/2013-02-21/2814222-Facebook_big_data_team Facebook背后的数据团队] | ||
| + | 以下链接有几百个大数据幻灯片资料，大家可参考下： | ||
| + | * http://docs.huihoo.com/big-data/ | ||
| + | * http://docs.huihoo.com/apache/spark/summit/ | ||
| + | * http://docs.huihoo.com/oreilly/conferences/strataconf/ | ||
| + | *[https://www.linkedin.com/pulse/100-open-source-big-data-architecture-papers-anil-madan 100 open source Big Data architecture papers for data professionals] | ||
| + | *[https://blogs.aws.amazon.com/bigdata/ AWS Big Data Blog] | ||
| + | *[http://www.infoq.com/cn/articles/hadoop-storm-samza-spark-flink 大数据框架对比：Hadoop、Storm、Samza、Spark和Flink] | ||
| + | *[http://www.csdn.net/article/1970-01-01/2825959 2015 Bossie评选：最佳开源大数据工具] | ||
| + | *[http://madlib.net/ MADlib: Big Data Machine Learning in SQL for Data Scientists] | ||
| + | *[http://www.ibm.com/developerworks/cn/analytics/ IBM大数据和分析技术专题] | ||
| + | *[http://esdk.huawei.com/cn/ict/Products/BigData 华为大数据分析] | ||
| + | |||
| + | [[category:big data]] | ||
| + | [[category:hadoop]] | ||
| + | [[category:spark]] | ||
| + | [[category:storm]] | ||
| + | [[category:cassandra]] | ||
2021年2月19日 (五) 01:31的最后版本
|
您可以在Wikipedia上了解到此条目的英文信息 Big data Thanks, Wikipedia. |
big data 大数据
目录 |
[编辑] 简介
Apache Spark、Apache Hadoop 在大数据领域占据核心位置。
[编辑] 新闻
- The Forrester Wave™: Big Data Fabric, Q2 2018 (June 12, 2018)
[编辑] 平台
- CitusDB
- Greenplum
- ClickHouse
- Hortonworks HDP
- Cloudera CDH
[编辑] 文档
- Stream Processing Frameworks and Products as Game Changers for the Internet of Things
- Java, Scala, and Friends: Touring the Java Bedrock of Big Data
- Securing Your Big Data Environment
- Securing the Big Data Ecosystem
- Harnessing Big Data for Application Security Intelligence
- Security Business Intelligence– Big Data for Faster Detection/Response
- MADlib: Big Data Machine Learning in PostgreSQL
[编辑] 课程
[编辑] 图集
Big Data Landscape 2016
Volume-Variety-Velocity
MADlib
PNDA
Embulk
[编辑] 链接
- Awesome Big Data
- Awesome Public Datasets
- Awesome Hadoop
- Awesome Data Engineering
- Big Data Made Easy
- Facebook背后的数据团队
以下链接有几百个大数据幻灯片资料，大家可参考下：
- http://docs.huihoo.com/big-data/
- http://docs.huihoo.com/apache/spark/summit/
- http://docs.huihoo.com/oreilly/conferences/strataconf/
- 100 open source Big Data architecture papers for data professionals
- AWS Big Data Blog
- 大数据框架对比：Hadoop、Storm、Samza、Spark和Flink
- 2015 Bossie评选：最佳开源大数据工具
- MADlib: Big Data Machine Learning in SQL for Data Scientists
- IBM大数据和分析技术专题
- 华为大数据分析
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