Big Data

Impact of Big Data in Medicine and pharmaceutical industry

Impact of Big Data in Medicine and pharmaceutical industry

Overview In today’s world, a huge volume of information is available in medication. This medication data can be utilized to construct improved and efficient well being profiles of individual patients. And, such an organized patient profile can be used to…

Data virtualization and complex large volume of data

Data virtualization and complex large volume of data

Overview: The data virtualization industry has been growing fast, something that experts think is going to last. As data becomes one of the most important assets in business, corporations are looking for ways to get the best out of it.…

How Open Data Platform simplifies Hadoop adoption?

How Open Data Platform simplifies Hadoop adoption?

Overview The Open Data Platform (ODP) is an industry initiative focused on simplifying the adoption of Apache Hadoop by the Enterprise and enabling Big Data solutions to thrive with better ecosystem interoperability. It builds on the strengths of the Apache…

Role of Big Data in User Authentication

Role of Big Data in User Authentication

Overview Password-based and two-factor and multifactor authentication processes have not been able to able provide protection to systems and data as well as was expected due to various reasons. Password-based authentication is too fragile and two-factor and multifactor authentication processes…

Exploring Automation and Big Data Initiatives

Exploring Automation and Big Data Initiatives

Overview: Self-service analytics software has been one of the trends in software development for some time. Conceptually, there is not much novelty about it, though. Self-service as a concept has already been applied to fast food joints, financial services and…

Big Data Success in the Cloud Platform

Big Data Success in the Cloud Platform

Overview In today’s big data era, we have heard about different tools, platforms etc. for managing big data and analytics. Each platform like Spark, Hadoop etc., has their own specialties and limitations. Big data applications are using different platforms based…

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