Apache Big Data Europe 2016

Cloud deployments of Apache Hadoop are becoming more commonplace. Yet Hadoop and it's applications don't integrate that well äóîsomething which starts right down at the file IO operations.



This talk looks at how to make use of cloud object stores in Hadoop applications, including Hive and Spark. It will go from the

foundational "what's an object store?" to the practical "what should I avoid" and the timely "what's new in Hadoop?" äóî the latter covering the improved S3 support in Hadoop 2.8+.



I'll explore the details of benchmarking and improving object store IO in Hive and Spark, showing what developers can do in order to gain performance improvements in their own code äóîand equally, what they must avoid.



Finally, I'll look at ongoing work, especially "S3Guard" and what its fast and consistent file metadata operations promise.