Improving Python and Spark Performance and Interoperability with Apache Arrow

浏览量：893 收藏：0 下载数：1 所需积分：2

Yasser Idris在Spark Summit 2017上做了主题为《Improving Python and Spark Performance and Interoperability with Apache Arrow》的演讲，就pyspark UDFs的现阶段发展和局限性，未来提升空间与想法等进行了深入的分享。

所需积分：2下载人数：1立即下载

相关资料

Improving Python and Spark Performance and Interoperability
The Columnar Era: Leveraging Parquet, Arrow and Kudu for High-Performance Analytics
Apache Spark’s Performance Project Tungsten and Beyond
Running Apache Spark on a High Performance Cluster Using RDMA Networking and NVMe Flash
Improving HBase reliability at Pinterest with geo-‐replication and efficient backup
Unleashing Data Intelligence with Intel and Apache Spark
Scalable Monitoring with Apache Spark and Friends
Scaling Self Service Analytics with Databricks and Apache Spark
Apache Spark 2.0 Performance Improvements Investigated With Flame Graphs
Prediction as a service with Ensemble Model trained in SparkML and Python ScikitLearn on 1Bn observed flight prices daily

网友评论

达人介绍

独步清客

资料数 226|关注 37

+ 关注

Improving Python and Spark Performance and Interoperability with Apache Arrow

相关资料

网友评论

达人介绍

推荐云产品