Keys's primary responsibility is interacting with customers in the field, but he also teaches classes, contributes to documentation, and works with engineering teams. He has over 15 years of experience in large scale distributed system design. Keys enjoys time with friends and family, and getting outdoors to play tennis or hike.
Apache Accumulo is a popular BigTable-like framework created by the NSA and open-sourced as an Apache project. We’ve previously blogged about using Accumulo 1.4 with MapR, and thought now was a good time to update the post with the latest versions of Accumulo and MapR.
Eclipse is a popular development tool and we thought it would be helpful to share some tips on using Eclipse with MapR to write MapReduce programs. The following notes describe how to enable Eclipse as your development IDE for Hadoop MapReduce jobs using an existing MapR cluster.
Earlier this month, we released MapR version 3.1. The primary focus of this release was enhancing Hadoop security. We built on the existing operating system based authentication and authorization from previous releases to add features in these four key areas: network safe authentication, network encryption, enhanced authorization using Access Control Expressions (ACE) in MapR tables, and tighter permissions on files on the local file system. What distinguishes MapR's security implementation is that we focused heavily on ease of use and enterprise integration.
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