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Hidden Brains is the top Big Data analytics service provider company helping clients capitalize on the transformational potential of Big Data.

Big Data Analytics Strategy & Consulting help you to define a Big Data strategy and choose appropriate technologies that complement your existing data warehouse.

Using our business domain expertise, we assist clients in integrating Big Data into their overall IT roadmap, architect and implement the Big Solution to take your business to the next level. With a belief that enterprises will rely on Big Data for all types of decision making, Hidden Brains team has focused on the delivery and deployment of Big Data analytics solutions to assist enterprise with strategic decision making.

Our Big Data analytics services help in analyzing the voluminous information to provide you the deepest insights into undiscovered possibilities. Our data scientists have a unique approach to develop solution that analyzes each piece of information before taking any critical business decision.

Apache Hadoop

Apache Hadoop, an open source framework allows for the distributed processing of large, enterprise data sets. It provides massive storage for all sorts of data, high-end data processing power and the exceptional ability to handle virtually limitless concurrent tasks or jobs. HDFS file system in Hadoop provides high-throughput access to the application data.

We have expertise in Big Data technology and specialize in offering integrated solution across Hadoop ecosystem of HDFS, Hive, Map Reduce, Sqoop, Flume and Oozie.

Through Apache Hadoop consulting services, we help organizations to leverage the benefit of large amount of data by organizing it in an appropriate form to gain meaningful and actionable insights.

Apache Hive

Through Apache Hive, we enable client to undertake advanced work on Apache Hadoop Distributed File System and MapReduce. Apache Hive also allows SQL developers to program Hive Query Language statements quite similar to standard SQL ones. Hive enables easy data summarization, analysis of large volumes of data and ad-hoc querying.

Our Hive development and integration solutions are built to allow SQL developers to write Hive Query Language (HQL) statements that are quite similar to standard SQL ones.

We aim to bring the familiarity of relational technology to big data processing using HQL and other structures and operations of relational databases.