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Apache Hadoop and Big Data Analytics are being integrated by the Banking and Securities industry (along with a host of other financial organizations) for analyzing strategies linked with their points of sale, transactions, authorizations, and other processes. These and other relevant data points are helping banks identify, take up, and mitigate fraud. For instance, data collated with the help of Hadoop alerts banking authorities when a debit / credit card is stolen, lost, or used with unusual...

Big Data is moving ahead with great strides in 2015 and is being used and represented across companies globally. The adoption rate of this revolutionary innovation has grown tremendously to increase its importance as a business function that’s reliable, secure and worthy of providing great value to customers. Here, we take stock of some major Big Data trends that are impacting the world of data in 2015. Read on for more.

Simple Interfaces for Non-Data Scientists

As more and more organizations...

Today, Big Data applications are radically transforming the ways in which small and medium enterprises are competing with each other. Because of their impact, it has become essential for companies to know the right ways of implementing Big Data tools and analytics –and from the very beginning too. These Big Data best practices are indispensible in enhancing the ongoing efforts of SMEs and help them move ahead with their smaller margin of error and budgets alike. Here’s a checklist that needs...

Early adopters of the Hadoop ecosystem were restricted to processing models that were MapReduce-based only. Hadoop 2 has brought with it effective processing models that lend themselves to many Big Data uses, including interactive SQL queries over big data, analysis of Big Data scale graphs, and scalable machine learning abilities. The evolution of Hadoop 1's limited processing model, comprising various batch-oriented MapReduce tasks, to the more specialized and interactive hard-core models of...

This video will help you gain knowledge about concepts like the need for Big Data and facts about Big Data. It also includes topics such as features of HDFS and MapReduce.

The most interesting part about this video is the explanation of Enterprise Hadoop and the career advantages of Big Data, as well as the opportunities Hadoop brings with it.

As per a recent study by Accenture Analytics, enterprises that are starting upon and completing their Big Data projects successfully are noting significant value and many practical results from their operations. On the other hand, those standing on the sidelines are finding themselves in a position to be left behind. From innovative market development techniques to new revenue generation, Big data tools and analytics are delivering massive business outcomes for a wide range of strategic...

From travel to media, marketing, telecom, and more, investments in Big Data are impacting the current business scenario dramatically—and in more ways than one. With Fortune 500 companies and other organizations jumping into the fray, it has now become important to understand Big Data trends. Yes, there’s an urgent need to master these trends for bigger success across different industry verticals. Globally, chief information officers (CIOs) and chief marketing officers (CMOs) are now facing...

Big Data as a Service—the term may not ring a bell right away, but it defines a profitable, fast-growing market that may surpass the popularity of Big Data very soon. Today, cloud-centric Big Data services are solving the data dilemmas of organizations worldwide. With this in view, it is forecasted that Big Data will touch the whopping $88 billion mark by 2021, with BDaaS hogging a fair share of the market. Similar to Infrastructure as a Service or Software as a Service, BDaaS is reliant on...

With a mad rush being the order of the day for gaining competitive advantage, jobs connected with Big Data analytics are hogging the limelight, and how. There is a scramble among aspirants, organizations and recruiters to leverage the many advantages of Big Data before the same is commoditized. If you are also in the Big Data job market in 2015, then these skills will garner you the job offer of your dreams. Read on for more.

1. Apache Hadoop

Hadoop, after having enjoyed immense popularity...

Take a peep into the future, and you will come face-to-face with many Big data challenges. With paradigm shifts taking place on the technology and business sides of predictive analytics and Big Data consistently, it’s important that we gear up to face the challenges of tomorrow.

Hype Leads to Fear, Uncertainty, and Doubt (FUD)

As per Scott Knau, CEO of Teradata, one of the biggest concerns faced by Big Data marketers and users is linked with the irrational hype surrounding the same. This, in...