Spark Summit East 2017会议于2017年2月07日到09日在波士顿进行,本次会议有来自工业界的上百位Speaker;官方日程:https://spark-summit.org/east-2017/schedule/。
由于会议的全部资料存储在http://www.slideshare.net
网站,此网站需要翻墙才能访问。基于此本站收集了本次会议的所有PPT资料供大家学习交流之用。本次会议PPT资料全部通过爬虫程序下载,可能会导致PPT出现问题请及时联系我修复。
本次可下载的PPT
本次可下载的PPT只有18个,其余的我会在后期下载。
What to Expect for Big Data and Apache Spark in 2017 Using Apache Spark for Intelligent Services Production-Ready Structured Streaming Scaling Genetic Data Analysis with Apache Spark RISELab: Enabling Intelligent Real-Time Decisions Making Structured Streaming Ready for Production - Updates and Future Directions Optimizing Apache Spark SQL Joins Tuning and Monitoring Deep Learning on Apache Spark Big Data Meets Learning Science Accelerating Machine Learning and Deep Learning At Scale...With Apache Spark Artificial Intelligence: How Enterprises Can Crush It With Apache Spark Data Science Transformation Via Apache Spark on Hybrid Cloud Apache Spark in Cloud and Hybrid: Why Security and Governance Become More Important Exceptions are the Norm: Dealing with Bad Actors in ETL Robust and Scalable ETL Over Cloud Storage with Spark SparkSQL: A Compiler from Queries to RDDs Keeping Spark on Track: Productionizing Spark for ETL Parallelizing Existing R Packages with SparkR
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本文链接: 【Spark Summit East 2017部分PPT下载[共18个]】(https://www.iteblog.com/archives/2001.html)