apache-spark
Apache Spark is an open source distributed general-purpose cluster-computing framework. It provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
Here are 48 public repositories matching this topic...
Script and tools to build with Apache Bigtop
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Mar 31, 2017 - Shell
This repository contain simple Spark application for beginners
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Sep 3, 2017 - Shell
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Sep 17, 2017 - Shell
Sparkler Crawl Environment - a packaged, dockerized version of http://github.com/USCDataScience/sparkler.git
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Nov 1, 2017 - Shell
Apache Spark to run on Kubernetes
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Nov 16, 2017 - Shell
Sample Oozie Workflow to test the Spark Job. In Workflow, we use the Shell action to call a Shell script. The Shell script will be invoking the Spark Pi example Job.
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Dec 12, 2017 - Shell
First basic Big Data approach
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Apr 29, 2018 - Shell
Create n-node cluster and Run spark job on Docker
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May 10, 2018 - Shell
GCP Dataproc mapreduce sample with PySpark
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Aug 9, 2018 - Shell
Apache Spark cluster in Docker - https://hub.docker.com/r/giabar/gb-spark/
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Nov 1, 2018 - Shell
Examples of using Apache Spark MLlib Pipelines and Structured Streaming on version 2.4.0
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Nov 8, 2018 - Shell
Exploring details of Motor Vehicle Collisions in New York City provided by the Police Department (NYPD).
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Mar 9, 2019 - Shell
An image for running Jupyter notebooks and Apache Spark in the cloud on OpenShift
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Mar 14, 2019 - Shell
Ansible role to install Apache Spark
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Apr 10, 2019 - Shell
Ubuntu base image provisioned mainly with Docker and Java
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Jun 24, 2019 - Shell
Workshop Material for Near RealTime Predictive Analytics with Apache Spark Structured Streaming Workshop at the Open Data Science Conference WEST 2019
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Oct 30, 2019 - Shell
Created by Matei Zaharia
Released May 26, 2014
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