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Hadoop to Bring Radical Changes to Help Streamline Big Data Complexities

Article Description

Hadoop is a Java-based open source application framework supported by the Apache Software Foundation, which allows storing and processing of big data across a cluster of computers. Hadoop has two main subprojects: MapReduce and Hadoop Distributed File System (HDFS). MapReduce is the core element of Hadoop, the software framework that enables the distributed processing of massive amounts of data on clusters of commodity hardware. The framework executes scheduling tasks, monitoring, and re-execution of failed tasks. HDFS, the other subproject of Hadoop, is a distributed file system that provides scalability and reliability for data storage across large clusters of commodity servers. 

Large Spending for Data Management Benefits Hadoop Market

Since its emergence in 2009, the global Hadoop market has been progressing expeditiously as Hadoop has emerged as one of the best instruments to manage big data. Rising volumes of both structured and unstructured data across a host of industries such as retail, healthcare, telecommunication, BFSI, and media and entertainment among others are fueling the demand for Hadoop solutions. This is mainly due to the ceaseless use of electronic devices that generate massive amounts of data for everyday functioning.

Browse Full Global Hadoop Market Report with TOC :http://www.mrrse.com/hadoop-market

Data generated across a spectrum of industries include administrative documents, web content, e-mail, and social media data. As most of the data generated is unstructured, organizations are looking into solutions for data sorting to make it usable. Thus, in the bid to streamline unstructured data, corporations are spending hefty sums.

Hadoop offers a range of advantages over other application frameworks for data management. Cost-effectiveness, low maintenance charges, compatibility to operate on commodity hardware, and smaller data processing turnaround time are the key advantages that Hadoop offers over noted data frameworks such as relational database management system (RDMS).

Services Sector Dominates Application Segment of Hadoop Market

By type, the segment of the Hadoop market are hardware, software, and services. Software is further sub-segmented into performance monitoring software and application software. The hardware segment is divided into storage and server. The services segment is sub-segmented into consulting, outsourcing, and training, middleware and support services, and integration and deployment. Of these, it is the services segment that is expected to display the largest growth rate in this market in the future.

On the basis of end-use industries, the segments of the Hadoop market are banking, financial services and insurance (BFSI), manufacturing, healthcare and life sciences, natural resources, government, retail, telecommunication, media entertainment, trade and transport, and IT and ITES among others. Amongst these, IT and ITES held the largest share of the global market in 2014; the sector generates massive amounts of both unstructured and structured data. Thus, to make it utilizable, most companies are developing their own Hadoop version suitable for their business needs. Furthermore, ITES such as business process outsourcing (BPO) and knowledge process outsourcing (KPO) deal with massive amounts of data that need to be sorted to be utilizable. Thus, Hadoop is offering solutions for IT and ITES for processing and storing an avalanche of data.

The leading companies in the Hadoop market are Cloudera Inc., EMC Corporation, MapR Technologies Inc., Karmasphere Inc., Teradata Corporation, Hortonworks Inc., IBM Corporation, Cisco Systems Inc., and Pentaho Zettaset Inc.