Hadoop is designed to scale up from single server to thousands of machines, each offering local computation and storage. A Hadoop frame-worked application works in an environment that provides distributed storage and computation across clusters of computers. Hadoop is an Apache open source framework written in java that allows distributed processing of large datasets across clusters of computers using simple programming models. In short, Hadoop framework is capable enough to develop applications capable of running on clusters of computers and they could perform complete statistical analysis for huge amounts of data. Hadoop runs applications using the MapReduce algorithm, where the data is processed in parallel on different CPU nodes.
Hive pigg oozie projects tasks software#
Now Apache Hadoop is a registered trademark of the Apache Software Foundation.
Here data will be stored in an RDBMS like Oracle Database, MS SQL Server or DB2 and sophisticated software can be written to interact with the database, process the required data and present it to the users for analysis purpose.ĭoug Cutting, Mike Cafarella and team took the solution provided by Google and started an Open Source Project called HADOOP in 2005 and Doug named it after his son’s toy elephant.
There are various technologies in the market from different vendors including Amazon, IBM, Microsoft, etc., to handle big data. To harness the power of big data, you would require an infrastructure that can manage and process huge volumes of structured and unstructured data in real-time and can protect data privacy and security. Big data technologies are important in providing accurate analysis, which may lead to more concrete decision-making resulting in greater operational efficiencies, cost reductions, and reduced risks for the business.
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