A Study on Tools of Big Data Analytics

In short, Big Data is about quickly deriving business value from a range of new and emerging data sources, including social media data, location data generated by smartphones

One approach is to apply high-performance analytics to analyze massive amounts of data using technologies such as grid computing, in-database processing and in-memory analytics..

Different techniques used for the analysis include statistical analysis, machine learning, data mining, intelligent analysis, cloud computing, quantum computing, and data

Hadoop MapReduce programming model and Hadoop Distributed File System (HDFS) are one of the most popular distributed computing technologies for distributing big data

The site is all about Big Data « 7 Tips to Succeed with Big Data in 2014 Java and Analytics the next frontier » Univa, MapR Partner Over Enterprise- Grade Hadoop Management 1

One approach is to apply high-performance analytics to analyze massive amounts of data using technologies such as grid computing, in-database processing and in-memory analytics..

Hadoop MapReduce is a software framework for easy writing applications which process huge amounts of data (multi-terabyte datasets) in-parallel on large clusters

File Sharing & Data Protection Across Physical Servers MapReduce Fault Tolerant Distributed Computing Across Physical Servers.. Hadoop is a platform for data storage