Cloud Believers
Published in

Cloud Believers

Getting started with Spark

Spark is similar to MapReduce’s low-latency interactive computing framework developed by UC Berkeley AMPLab. Spark is a fast general-purpose engine for processing massive amounts of data. Hadoop was developed in 2003, grew up in Yahoo, entered Apache incubation, and gained extensive use in 2008. However, there have always been problems such as fewer MR algorithms, disk read and write every time Reduce, MR needs to appear in pairs, slow…




The blog is developed for programmers, developers and startups, here we discuss the diffrent ideas of cloud technology and the programming

Recommended from Medium

Will Your Web Scraper Perform Under These Conditions? Here Is a Checklist

Let’s talk about (scheduled) background tasks

Windows search.

15 Docker Commands You Should Know


Welcome to Notarum!

Variables: The DNA of programming

Bedav - finding COVID-19 hospital beds in Bangalore

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Sajjad Hussain

Sajjad Hussain

Digital Nomad

More from Medium

Spark Streaming + Flume Integration + Python3

Learning Spark — Part 1 Spark Environment Installation

Optimization Strategies when working with Big data and PySpark

Apache Spark 101