Tag Archives: Intel

Faster Swarms of Data : Accelerating Hive Queries with Parquet Vectorization

Categories: CDH Hive Parquet Performance

Background

Apache Hive is a widely adopted data warehouse engine that runs on Apache Hadoop. Features that improve Hive performance can significantly improve the overall utilization of resources on the cluster. Hive processes data using a chain of operators within the Hive execution engine. These operators are scheduled in the various tasks (for example, MapTask, ReduceTask, or SparkTask) of the query execution plan. Traditionally, these operators are designed to process one row at a time.

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Deep Learning with Intel’s BigDL and Apache Spark

Categories: CDH Data Science Hadoop Spark

Cloudera recently published a blog post on how to use Deeplearning4J (DL4J) along with Apache Hadoop and Apache Spark to get state-of-the-art results on an image recognition task. Continuing on a similar stream of work, in this post we discuss a viable alternative that is specifically designed to be used with Spark, and data available in Spark and Hadoop clusters via a Scala or Python API.

The Deep Learning landscape is still evolving.

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BigDL on CDH and Cloudera Data Science Workbench

Categories: CDH How-to Spark

Introduction

As companies strive to implement modern solutions based on deep learning frameworks, there is a need to deploy it on existing hardware infrastructure in a scalable and distributed manner comes to the fore. Recognizing this need, Cloudera’s and Intel’s Big Data Technologies engineering teams jointly detail Intel’s BigDL Apache Spark deep learning library on the latest release of Cloudera’s Data Science Workbench. This collaborative effort allows customers to build new deep learning applications with BigDL Spark Library by leveraging their existing homogeneous compute capacity of Xeon servers running Cloudera’s Enterprise without having to invest in expensive GPU farms and bringing up parallel frameworks such as TensorFlow or Caffe.

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Offheap Read-Path in Production – The Alibaba story

Categories: Hadoop HBase Performance Use Case

This article is syndicated with permission from the Apache HBase blog and highlights a collaboration between our partners at Intel and Alibaba engineering in time for “Singles Day“, the biggest shopping day on the net. For more on HBase, mark your calendars! On June 12th, 2017 the Apache HBase community will be hosting their annual HBaseCon.

Introduction

HBase is the core storage system in Alibaba’s Search Infrastructure.

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Progress Report: Bringing Erasure Coding to Apache Hadoop

Categories: Hadoop HDFS Performance

Get an update on the progress of the effort to bring erasure coding to HDFS, including a report about fresh performance benchmark testing results.

About a year ago, the Apache Hadoop community began the HDFS-EC project to build native erasure coding support inside HDFS (currently targeted for the 2.9/3.0 release). Since then, we have designed and implemented basic functionalities in the first phase of the project under HDFS-7285,

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