<--- Back to Details
First PageDocument Content
Computing / Big data / Hadoop / Free software / Cloud infrastructure / Apache Software Foundation / Cluster computing / Java platform / Apache Spark / Cloudera / Apache Hadoop / MapR
Date: 2018-08-07 05:02:33
Computing
Big data
Hadoop
Free software
Cloud infrastructure
Apache Software Foundation
Cluster computing
Java platform
Apache Spark
Cloudera
Apache Hadoop
MapR

About Intellipaat Intellipaat is an e-learning and professional certification company for software developers, IT administrators, and other professionals, headquartered in Bangalore, India. The training is offered in thr

Add to Reading List

Source URL: cdn.intellipaat.com

Download Document from Source Website

File Size: 848,30 KB

Share Document on Facebook

Similar Documents

Databricks Security A Primer About Databricks Databricks is a hosted end-to-end data platform powered by Apache® Spark™. Databricks makes it easy to

Databricks Security A Primer About Databricks Databricks is a hosted end-to-end data platform powered by Apache® Spark™. Databricks makes it easy to

DocID: 1uwO3 - View Document

Dublin Apache Kafka Meetup, 30 AugustThe SMACK Stack: Spark*, Mesos*, Akka, Cassandra*, Kafka* Elizabeth K. Joseph

Dublin Apache Kafka Meetup, 30 AugustThe SMACK Stack: Spark*, Mesos*, Akka, Cassandra*, Kafka* Elizabeth K. Joseph

DocID: 1tHnJ - View Document

Peeling the Onion How Data Abstractions Help Build BigData Apps Andreas Neumann @caskoid November 2016 Cask, CDAP, Cask Hydrator and Cask Tracker are trademarks or registered trademarks of Cask Data. Apache Spark, Spark,

Peeling the Onion How Data Abstractions Help Build BigData Apps Andreas Neumann @caskoid November 2016 Cask, CDAP, Cask Hydrator and Cask Tracker are trademarks or registered trademarks of Cask Data. Apache Spark, Spark,

DocID: 1tdJO - View Document

We explore the trade-offs of performing linear algebra in Apache Spark versus the traditional C and MPI approach by examining three widely-used matrix factorizations: NMF (for physical plausibility), PCA (for its ubiquit

We explore the trade-offs of performing linear algebra in Apache Spark versus the traditional C and MPI approach by examining three widely-used matrix factorizations: NMF (for physical plausibility), PCA (for its ubiquit

DocID: 1sokL - View Document

Towards	
  a	
  Big	
  Data	
  Debugger	
  in	
   Apache	
  Spark	
   Tyson	
  Condie,	
  UCLA	
   Tuning	
  Spark	
  Applica>ons	
   •  Commonly	
  through	
  visualiza>on	
  tools	
  

Towards  a  Big  Data  Debugger  in   Apache  Spark   Tyson  Condie,  UCLA   Tuning  Spark  Applica>ons   •  Commonly  through  visualiza>on  tools  

DocID: 1s5yq - View Document