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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...

With mobile, cloud, analytics, and social media changes providing opportunities like never before, consumers, organisations, and employees, are now interacting in more unified ways with each other. For example, governments and businesses are creating new customer experiences, improving upon citizen services, reducing costs, delivering better patient outcomes, increasing the productivity of their staff...all through digital transformation, courtesy of big data!Yes, as per the results of a...

Big Data technology has mostly been used for solving problems unique to organizations using the internet to generate their revenue streams. The under-mentioned case studies see Big data in action, appropriately characterized by its3 V”s—velocity, variety, and volume. These big data case studies are meant to instruct readers and bring about improvements in business performance. Here is a sketch of the 10 most significant Big Data case studies doing the rounds. 1. Real-time pricing by Macy's Inc.

Today, software-based systems are not only pervading more industry verticals but are also becoming more difficult and complex. Fortunately, Big Data is coming to the rescue of millions of software testing engineers and developers operating globally; especially with regard to teaching them what to tell their machines to do. So, regardless of whether software developers are using yesterday’s legacy systems or grappling with the challenges of tomorrow’s hot technologies, they are finding their...