How a Big Data Analytics Company Works in India

Big Data strategies and technologies are evolving very quickly. The leading edge and key of Big Data Analytics still remain in the Cloud Computing practices and the storage of data oceans in its native format. The disciplines of Big Data Analytics mostly driven by the following major trends that are helping the Indian companies to stay ahead of the game:

Big Data Analytics with Cloud Computing: There are many technologies available to process the data in the cloud. The companies are getting the real-time data insights and processing with the SaaS-based industry wise analytics. Some of the examples are Bluemix Cloud Platform of IBM, BigQuery Data Analytics Service of Google, Redshift hosted Big Data Warehouse of Amazon.

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Hadoop as the Enterprise Operating System: These operating systems from Hadoop are executing different data calculations and manipulations. This result is then processed as the analytics operations in the Hadoop used as the distributed file storage system. The most common example which works as the framework for Distributed Analytics is MapReduce.

Lakes of Big Data: This data model is designed in such a way that it gives the users the option to look inside the data repository and provide the necessary tools to analyze the entered data with a high quality. This property of this Big Data Model makes it unique, incremental and innovative for creating a large-scale entered database. This model also known as Enterprise Data Hub or Lake is the model which takes the data according to the pre-designed data strategies. It generally comes under the part of Intuit Analytics Strategy of Cloud Computing and the data lakes for this model includes clickstream user data and third-party data.

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About the Company:

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