22/01/2014 Professional & Short Term Course
Hadoop is an Apache open source project that provides a parallel storage and processing framework. Its primary purpose is to run MapReduce batch programs in parallel on tens to thousands of server nodes.
Hadoop scales out to large clusters of servers and storage using the Hadoop Distributed File System (HDFS) to manage huge data sets and spread them across the servers. </br>
One of Hadoop?s greatest benefits is the ability of programmers to write application modules in almost any language and run them in parallel on the same cluster that stores the data. This is a profound change! With Hadoop, any programmer can harness the power and capacity of thousands of CPUs and hard drives simultaneously.
More advantages of Hadoop include affordability (it runs on commodity hardware), open source (free download from Cloudera), and agility (store any data, run any analysis).
Providing effective business analytics tools and technologies to the enterprise is a top priority of CIOs and for good reason. Effective business analytics � from basic reporting to advanced data mining and predictive analytics � allows data analysts and business users alike to extract insights from corporate data that, when translated into action, deliver higher levels of efficiency and profitability to the enterprise.
The Hadoop/NoSQL software and services market reached $542 million in 2012 as measured by vendor revenue. This includes revenue by Hadoop and NoSQL pure-play vendors � companies such as Cloudera and MongoDB � as well as Hadoop and NoSQL revenue from larger vendors such as IBM, EMC (now Pivotal) and Amazon Web Services. Weforecast this market to grow to $3.48 billion in 2017, a 45% CAGR during this five year period.
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Hadoop World: Hadoops Impact on the Future of Data Management. As Hadoop and the surrounding projects & vendors mature, their impact on the data m...
Apache Hive is a data warehousing infrastructure based on the Hadoop. It provides a simple query language called HiveQL, which is based on SQL. Hive h...
Hadoop allows data to be spread over large clusters of commodity servers and processed in parallel.Today the platform is generally used to analyse dat...