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Big Data: CAP Theorem
Selecting a database which fits in our application requirement is a very daunting task since “no one size fits all”.
Big Data: NoSQL Data Stores
NoSQL database stores are initially considering the notion “Just Say No to SQL” and these were the reactions to the perceived limitations of (SQL-based) relational databases RDBMS.
Pig Latin Operators in Hadoop
Pig Latin has a simple syntax with powerful semantics we will use to carry out two primary operations:
Hadoop integration with R
Developers and Programmers are still continue to explore various approaches to leverage the distributed computation benefits of MapReduce and the almost limitless storage capabilities of HDFS in intuitive manner that can be exploited by R.
Machine Learning with Mahout and Collaborative Filtering
Machine learning refers to a feild of artificial intelligence (A.I.) functions that provides tools enabling computers to enhance their analysis on the basis of previous events.
MapReduce Reducer Class:
MapReduce API has two main classes which do the Map-Reduce task for us: Mapper class and Reducer class.
Pig Architecture and Application Flow in Hadoop
Simple” often sense as “elegant” when it comes to those remarkable architectural drawings for that new Silicon Valley mansion we have planned for when the money starts rolling in after we implement Hadoop.
YARN: Yet Another Resource Negotiator
With the release of Hadoop 2, however, YARN was introduced, which open doors for whole new world of data processing opportunities.
MapReduce Mapper Class:
Mapper class is responsible for providing implementations for mapping jobs in MapReduce.
Managing files with Hadoop File System Commands
HDFS is one of the two main components of the Hadoop framework; the other is the computational paradigm known as MapReduce.
Data Replication in Hadoop: Replicating Data Blocks (Part – 1)
In HDFS, the Data block size needs to be large enough to warrant the resources dedicated to an individual unit of data processing On the other hand.
Hadoop Java API for MapReduce
Hadoop has gone through some big API change in its 0.20 release, which is the basic interface in the 1.0 version .