4198-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


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2025-03-11
Data Big Hadoop RTAP Real-Time Analytical data Processing yond analytics
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Big Data Beyond Hadoop
Real-Time Analytical Processing (RTAP) Using
Spark and Shark
Jason Dai
Engineering Director & Principal Engineer
Intel Software and Services Group
CCF YOCSEF
Shanghai
Agenda
Big Data beyond Hadoop
Introduction to Spark and Shark
Case study: real-time analytical processing (RTAP)
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


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