The Positive Influence of Big Data Analytics on Marketing

Before data was included into the equation, marketing specialists relied almost solely on their “gut feeling” to achieve desired results. However, once data analysis stepped onto the scene it completely re-shaped the game. Now, marketing specialists base entire campaigns on concrete evidence, made available by data analytics, to acquire, test, and implement in their strategies. Continue reading “The Positive Influence of Big Data Analytics on Marketing”

Where Websites Live – Biggest Data Centers

Is your website your whole livelihood, like it is for millions of people around the world? It is very important to be able to identify a reliable website host these days. The total number of websites worldwide is expected to reach 1 billion sometime in 2016. That is a huge number of websites, each with their own amount of data that needs to be stored and managed. With all sizes of businesses migrating to the cloud, more and more data needs website hosts to be maintained, which is producing the need for larger spaces. Enter the world’s largest data centers. Continue reading “Where Websites Live – Biggest Data Centers”

Amazon Elastic Map Reduce for Beginners

Before we begin we should know few terms i.e. S3, EMR, Bucket
Amazon S3 stands for  Amazon Simple Storage Service.
Amazon EMR stands for Amazon Elastic Map Reduce.
Bucket is a term used to store the data. We can place files, folders etc … inside a S3 Bucket.
For more detail about the terms refer to AWS website.
We will create a bucket to store the result. We will use MapReduce to find the number of times word is repeated. For this example we will use the sample py file and data which is already available in aws website as Word Count example. Continue reading “Amazon Elastic Map Reduce for Beginners”

Cloud Computing and Knowledge Management

In Last article we discussed about Knowledge Management in the Era of Social Networking.
A broad range of thoughts on the KM discipline exist; approaches vary by author and school. In the early days of KM, Collaborative technologies and semantic technologies were leveraged. Knowledge management systems can be categorized in Groupware, document management systems, expert systems, semantic networks, relational and object oriented databases, simulation tools, and artificial intelligence. Continue reading “Cloud Computing and Knowledge Management”

Knowledge Management and Era of Social Networking

Information sharing has become an essential part of our lives via social networking medium e.g.  Facebook, Twitter, WordPress, BlogSpot, YouTube, and LinkedIn. In the era of globalization, management of immense flow of knowledge has presented new aspects to look for innovations. Business Intelligence and Analytics are the need of an hour in the competitive space and it was never as easily available as now due to emergence of disruptive innovation called Cloud Computing. Cloud computing along with its different service models (SaaS, PaaS, IaaS) and deployment models (Public, Private, Hybrid) has potential to reinvent the knowledge management in cost-effective manner and maintaining high availability due to agility, scalability, and elasticity provided by Cloud models hence it provides competitive advantage.