Contributor: Andy Lerner

MapR Converge Blog author, Andy Lerner

Andy Lerner is a Solution Architect at MapR Technologies working with software, hardware, and cloud partners to integrate and certify solutions with MapR Dataware. Prior to MapR, Andy worked in technical pre-sales, software development, and alliance engineering at HP. He has a BS in Computer Engineering from UCLA. His interests this week include exceedingly dark chocolate, sunshine, bourbon, and any David Mitchell novel.

Blog Posts by Andy Lerner

October 30, 2018 | By Andy Lerner

NVIDIA GPU Cloud Containers for MapR

In the MapR + NVIDIA Reference Architecture paper, I present an overview of deep learning architectures, both containerized and on bare metal, for training models, using data stored in a MapR distributed file system. For that paper, the tfcnnbenchmark...

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October 12, 2018 | By Andy Lerner

Deep Learning with NVIDIA GPUs + Oracle Cloud Infrastructure + MapR

Using GPUs to train neural networks for deep learning is becoming commonplace. But the cost of GPU servers and the storage infrastructure required to feed GPUs as fast as they can consume data is significant. I wanted to see if I could use a highly reliable...

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July 08, 2015 | By Andy Lerner

Teradata Connector for Hadoop with YARN on MapR

Teradata Connector for Hadoop (TDCH) is a key component of Teradata’s Unified Data Architecture for moving data between Teradata and Hadoop. TDCH invokes a mapreduce job on the Hadoop cluster to push/pull data to/from Teradata databases, with each mapper...

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January 10, 2013 | By Andy Lerner

Harness the Power of R and Hadoop

RHadoop and MapR technical brief now available If you are a data analyst or statistician familiar with the R programming language and you want to use Hadoop to run MapReduce jobs or access HBase tables, Revolution Analytics has created RHadoop to make...

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