Big Data Archives

When should you consider IMDG technology? IMDG technology facilitates the technical architecture to handle significant data flow required by big data analytics

March 17, 2017 by Naveen Joshi

IMDG technology provides continuous availability and increased consistency along with flexible scalability across several data management systems. Let’s take a quick look at some features of IMDG technology. Scale-out Computing:…

Big Data

How data scientists differ from BI data analysts? A data scientist and BI analyst can take Big Data analytics and data warehousing programs to the next level. They can help in deciphering what the data is actually telling a company. They are also able to segregate relevant data from irrelevant data. A data scientist and a BI analyst will hopefully be able to leverage the enterprise data warehouse, currently in place, to take a deep dive into the data. Organizations must, therefore, know about the difference between data scientists and data analysts.

March 13, 2017 by Naveen Joshi

As a discipline, Business Analytics has been around for 30 years, starting with the launch of MS Excel in 1985. Before this, data analytics was only limited to manual calculations…

Big Data

Making Big Data normal with graph analysis Social networks have transformed the Internet into a complex web of relationships. Graph analysis offers a way to understand these complex relationships.

March 12, 2017 by Naveen Joshi

Graph analysis models are powerful enablers of fine-grained predictive modeling of human behavior as they help in identifying the likely behavior of individuals in their fuller context of groups, relationships,…

Big Data

Bridge strategy gap for big data adoption Big data technologies have been matured to a point where organizations can be prepared for big data adoption as a core component of their information management and analytics infrastructure. Big data analytics is a compilation of emerging disruptive tools and technologies for driving insights based business.

February 27, 2017 by Naveen Joshi

There is a difference between the idea of big data adoption and the successful implementation of a big data initiative in an enterprise. And the reason for that disparity is…

Big Data

Personal data bank vaults are the new “in thing” A personal data bank vault provides the facility of retaining an individual’s data ownership while storing data in a secure way. The data that is stored in these vaults is constantly filtered before it is shared with service providers, advertisers or data analysts. Personal data bank vault architecture gives users granular and flexible access to data.

February 25, 2017 by Naveen Joshi

Security in big data analytics has become a topic of debate. To implement increased level of security in big data analytics, a new data modelling technique has been introduced, known…

Big Data

Don’t confuse business domain analytics with web domain analytics! The popularity of IT and the internet has made analytics very relevant in the current age. Data analytics helps organizations harness their data and use it to identify new opportunities. There are two similar concepts in analytics world: business domain analytics and web domain analytics.

February 24, 2017 by Naveen Joshi

The terms business domain analytics and web domain analytics have created a lot of confusion, but let us assure you these two concepts have completely different functionalities. Business Domain Analytics…

Big Data Technology

Using analytics heat maps in your website Analytics heat maps are used for visualizing and analyzing huge data sets that are constrained in a particular space. Analytics heat maps are used by websites for viewing user engagement and interactions

February 22, 2017 by Naveen Joshi

In analytics heat maps data sets are represented with different colors that shift with the gradient across the map. This aspect makes it easy to compare several factors of that…

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