推荐星级:
  • 1
  • 2
  • 3
  • 4
  • 5

超越Hadoop的大数据技术:用Spark 和Shark进行基于内存的实时大数据分析

更新时间:2020-11-18 07:24:26 大小:2M 上传用户:xzxbybd查看TA发布的资源 标签:hadoop大数据 下载积分:2分 评价赚积分 (如何评价?) 打赏 收藏 评论(0) 举报

资料介绍

超越Hadoop的大数据技术:用Spark 和Shark进行基于内存的实时大数据分析


Big Data beyond Hadoop Big Dta today • The is in the room Big Data beyond Hadoop • Real-time analytical processing (RTAP) – Discover and explore data iteratively and interactively for real-time insights • Advanced machine leaning and data mining (MLDM) – Graph-parallel predictive analytics (non-SQL) • Distributed in-memory analytics – Exploit available main memory in the entire cluster for >100x speedup


RTAP: Real-Time Analytical Processing Real-Time Analytical Processing (RTAP) • Data ingested & processed in a streaming fashion • Real-time data queried and presented in an online fashion • Real-time and history data combined and mined interactively • Predominantly RAM-based processing

部分文件列表

文件名 大小
超越Hadoop的大数据技术:用Spark_和Shark进行基于内存的实时大数据分析.pdf 2M

【关注B站账户领20积分】

全部评论(0)

暂无评论

上传资源 上传优质资源有赏金

  • 打赏
  • 30日榜单

推荐下载