CouchDB – Creating a Database
Database is the outermost data structure in CouchDB where your documents are stored. You can create these databases using cURL utility provided by CouchDB, as well as Futon the web…
CouchDB – HTTP API
Using HTTP request headers, you can communicate with CouchDB. Through these requests we can retrieve data from the database, store data in to the database in the form of documents,…
CouchDB – Curl & Futon
cURL Utility cURL utility is a way to communicate with CouchDB. It is a tool to transfer data from or to a server, using one of the supported protocols (HTTP,…
CouchDB – Installation
This chapter teaches you how to install CouchDB in windows as well as Linux systems. Installing CouchDB in Windows Download CouchDB The official website for CouchDB is https://couchdb.apache.org. If you click…
CouchDB – Introduction
This tutorial provides a brief knowledge about CouchDB, the procedures to set it up, and the ways to interact with CouchDB server using cURL and Futon. It also tells how…
Hadoop – Multi-Node Cluster
This chapter explains the setup of the Hadoop Multi-Node cluster on a distributed environment. As the whole cluster cannot be demonstrated, we are explaining the Hadoop cluster environment using three…
Hadoop – Streaming
Hadoop streaming is a utility that comes with the Hadoop distribution. This utility allows you to create and run Map/Reduce jobs with any executable or script as the mapper and/or…
Hadoop – MapReduce
MapReduce is a framework using which we can write applications to process huge amounts of data, in parallel, on large clusters of commodity hardware in a reliable manner. What is…
Hadoop – Command Reference
There are many more commands in "$HADOOP_HOME/bin/hadoop fs" than are demonstrated here, although these basic operations will get you started. Running ./bin/hadoop dfs with no additional arguments will list all the commands…
Hadoop – HDFS Operations
Starting HDFS Initially you have to format the configured HDFS file system, open namenode (HDFS server), and execute the following command. $ hadoop namenode -format After formatting the HDFS, start…
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