本讲义出自<b>abel rincon与jorge lopez-malla</b>在spark summit east 2017上的演讲,主要介绍了spark作为主流的大规模并行处理框架,hdfs作为最受欢迎的大数据存储技术,两者之间的结合通常是大数据的常见用例,本讲义分享了如何使得两种技术同处于安全的环境中,另外随着bi技术适应大数据环境,要求几个用户能够同时与集群进行交互,如何保证环境的安全也是一个挑战。
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark
【Spark Summit East 2017】Kerberizing Spark