11 Great Hadoop, Spark and Map-Reduce Articles
This reference is a part of a new series of DSC articles, offering selected tutorials, references/resources, and interesting articles on subjects such as deep learning, machine learning, data science, deep data science, artificial intelligence, Internet of Things, algorithms, and related topics. It is designed for the busy reader who does not have a lot of time digging into long lists of advanced publications.
11 Great Hadoop, Spark and Map-Reduce Articles
- What MapReduce can't do
- What is Map-Reduce?
- Practical illustration of Map-Reduce (Hadoop-style), on real data
- The Hadoop Ecosystem: HDFS, Yarn, Hive, Pig, HBase and growing...
- Spark Or Hadoop: Which Is The Best Big Data Framework?
- What is Hadoop - An Easy Explanation For Absolutely Anyone
- 50 Articles about Hadoop and Related Topics
- A synthetic variance designed for Hadoop and big data
- Machine Learning at Scale with Spark
- Self-Learn Yourself Apache Spark in 21 Blogs
- Implementing a Distributed Deep Learning Network over Spark
Previous topics covered in this series
Top DSC Resources
- Article: What is Data Science? 24 Fundamental Articles Answering This Question
- Article: Hitchhiker's Guide to Data Science, Machine Learning, R, Python
- Tutorial: Data Science Cheat Sheet
- Tutorial: How to Become a Data Scientist - On Your Own
- Categories: Data Science - Machine Learning - AI - IoT - Deep Learning
- Tools: Hadoop - DataViZ - Python - R - SQL - Excel
- Techniques: Clustering - Regression - SVM - Neural Nets - Ensembles - Decision Trees
- Links: Cheat Sheets - Books - Events - Webinars - Tutorials - Training - News - Jobs
- Links: Announcements - Salary Surveys - Data Sets - Certification - RSS Feeds - About Us
- Newsletter: Sign-up - Past Editions - Members-Only Section - Content Search - For Bloggers
- DSC on: Ning - Twitter - LinkedIn - Facebook - GooglePlus
Comment
Resources
Videos
© 2020 Data Science Central ®
Powered by
Badges | Report an Issue | Privacy Policy | Terms of Service
You need to be a member of Data Science Central to add comments!
Join Data Science Central