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  According to the data published by Transparency Market Research, the  global hadoop market  is like to witness significant growth, as the market is expected to rise at excellent CAGR of 29% over the projected period between 2017 and 2023. The marker is also anticipated to achieve US$37.75 bn by the end of 2023. In 2017, the global hadoop market earned US$8.16 bn. The global hadoop market is consolidated, as few players hold maximum share in this market. Leading players are acquiring smaller companies to strengthen their position in the market. For instance, Google acquired Cask Data that designs solutions to operate big data analytics services with the help of hadoop. This acquisition will benefit both companies and will further strengthen position of Google. Moreover, these players are investing heavily in research and development activities to develop their own version of hadoop software. They are also focusing on developing advance Hadoop-based data manageme...

The global hadoop market is consolidated, as few players hold maximum share in this market. Leading players are acquiring smaller companies to strengthen their position in the market. For instance, Google acquired Cask Data that designs solutions to operate big data analytics services with the help of hadoop. This acquisition will benefit both companies and will further strengthen position of Google.  Planning To Lay Down Future Strategy? Request Sample  https://www.transparencymarketresearch.com/sample/sample.php?flag=S&rep_id=719 Moreover, these players are investing heavily in research and development activities to develop their own version of hadoop software. They are also focusing on developing advance Hadoop-based data management, storage, and analytics solutions to the met the growing demand for various business enterprise. In this report, analysts have profiled prominent players such as Hortonworks Inc., Cloudera Inc., MapR Technologies Inc., IBM Corp, a...

Hadoop is a Java-based open source programming framework sponsored by Apache Software Foundation, which enables the processing of large data sets in a distributed computing environment. Hadoop has two main subprojects, namely – MapReduce and Hadoop Distributed File System (HDFS). MapReduce is a framework that assigns work to the clusters in a node, whereas HDFS is a file system used for data storage in a Hadoop cluster. Since its inception in 2009, the global market for Hadoop is growing at a healthy rate as it has emerged as one of the best tools to manage big data. Growing unstructured as well as structured data volume across different end use sectors such as retail, BFSI, healthcare, media and entertainment, and telecommunication among others is augmenting the demand for Hadoop solutions.                                                     As a resu...