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Various Data compression codecs in Hadoop
Here we enlist and identify some common codecs that are supported by the Hadoop framework. Be sure to opt for the codec that most closely matches the
Storing Data in HDFS
Just to be clear, storing data in HDFS is not entirely the same as saving files on your personal computer. In fact, quite a number of differences exis
Hadoop Toolbox
Besides, the major contribution of Amazon EMR services and its other related tools, many other companies also provide certain useful Hadoop Tools enlisted as following:
Concept of Map Reduce in Hadoop
Though MapReduce as a technology is relatively new, it builds upon much of the fundamental work from both mathematics and computer science, particular
Hadoop Distributions: EMC, HotonWork and MapR
Besides Cloudera, there are few other popular Hadoop distribution which are well implemented for commercial and development purposes.EMC: Pivotal HD,
Hadoop Distributions: Cloudera
We have seen that the Hadoop ecosystem has several component parts, all of which exist as their own Apache projects. Since Hadoop has become extremely
Hadoop Distributed processing with MapReduce
MapReduce comprises the sequential processing of operations on distributed volumes of data sets. The data comprises of key-value pairs, and the overal
Graph Analysis with Hadoop
We all are already familiar with log data, relational data, text data, and binary data, but we will soon hear about another form of information: graph data.
Image Classification with Hadoop
Image classification starts with the notion that we build a training set and that computers are equipped to recognize and categorize what they’re processing at.
Social Sentiment Analysis with Hadoop
Social sentiment analysis is simply the most overrated of the Hadoop applications, which should be no surprise, given that we breathe in a world with a constantly connected and expressive population.
Risk Modelling with Hadoop
Risk modelling is another major use case that’s energized by Hadoop. We think we will find that it closely resembles the fraud detection model use case in which it acts like a model-based discipline.
Data Warehousing with Hadoop
Data warehouses are on the edge of the line, trying to cope with growing needs on their finite resources. The sudden growth in the volumes of data set