Contributor: Jim Fiori

MapR Converge Blog author, Jim Fiori

Jim has a long history in IT, involving roles in software development, performance engineering, and pre-sales engineering in both the commercial and government spaces, including the Intelligence Community. Jim has deep systems knowledge including servers, networks, storage, operating systems, and high-availability. Before joining MapR, Jim spent 20 years at Sun Microsystems and Oracle solving complex customer problems. Jim's interests are in Big Data architectures, enterprise software, performance analysis and tuning, and distributed systems.

Blog Posts by Jim Fiori

May 13, 2013 | By Jim Fiori

Leverage Existing File-based Applications with Hadoop

Overview Hadoop provides a compelling distributed platform for processing massive amounts of data in parallel using the Map/Reduce framework and the Hadoop distributed file system. A JAVA API allows developers to express the processing in terms of a map...

Read more
March 14, 2013 | By Jim Fiori

Immediate MapReduce on Hadoop Data Ingest With MapR Direct Access NFS™

Overview Running MapReduce jobs on ingested data is traditionally batch-oriented: the data must be first transferred to a local file system accessible to the Hadoop cluster, then copied into HDFS with Flume or the “hadoop fs” command. Only once the transfers...

Read more
February 22, 2013 | By Jim Fiori

Profiling MapReduce with Central Configuration, MapR-FS (Now called MapR XD) and Centralized Logging

Overview Profiling Java applications can be accomplished with many tools, such as the built-in HPROF JVM native agent library for profiling heap and CPU usage. In the world of Hadoop and MapReduce, there are a number of properties you can set to enable...

Read more

50,000+ of the smartest have already joined!

Stay ahead of the bleeding edge...get the best of Big Data in your inbox.

Get our latest posts in your inbox

Subscribe Now