
Handling Small Files in MapR-FS
In this post, we will discuss how dealing with small files is different if you are using MapR-FS rather than the traditional HDFS installation.
Rick has extensive experience with a wide variety of technical and execution architectures, including big data platforms, data services and SOA, virtualization, infrastructure, security, integration, distributed computing, and data transformation. He has led pioneering client delivery engagements including the delivery of NetApp’s Next Generation Phone Home data platform utilizing Hadoop, HBase, and Cassandra. He also led the delivery of a multi-tenant, hybrid use case big data platform for a large datacenter co-location provider. That platform was built using Cassandra and Storm to facilitate multiple different use cases in a centralized manner.
Rick has deep experience in the creation of vertical solutions that include everything from cloud-based infrastructure and big data storage techniques to predictive analytics and custom visualization solutions. He has built solutions utilizing tools such as Cassandra, Hadoop, HBase, Hive, Pig, Storm, Solr, Flume, Pentaho, and custom Java development.
In this post, we will discuss how dealing with small files is different if you are using MapR-FS rather than the traditional HDFS installation.