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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...

Along with generating an ever-increasing repository of data that’s posing enormous challenges, Big Data is also bringing in significant business opportunities. This is especially true in the ways in which Big Data analytics is affecting the performance of sales and marketing experts, the right way. Yes, the age of "Big Data" has clearly dawned to impact sales and marketing in 2015. Take a look.

Big Data changing Sales and Marketing Models in 2015

The sales and marketing scene globally is going...

If you are totally convinced about the massive potential and powers of Big Data but a bit in the gray with regards to its worth for your organization, then you are in the right place. Here, we introduce you to some practical and realistic uses of predictive analysis and Big Data metrics in the existing economic scenario. These practical applications of Big Data will help you reckon its worth and think about the same for your workplace too.

Communicate Better with Vendors and Customers

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Big Data is an all-encompassing term for any collection of data sets so large and complex that it becomes difficult to process using traditional data processing applications (also consider checking out this perfect parcel of information for a data science degree).

Follow the infographic to learn about how to become a Big Data Developer:

Hadoop has taken rapid strides in this world ridden with Big Data technology, predictive analysis tactics, and open source codes. This open source project has been taken up by numerous vendors who have been developing their own distributions, improving upon its code base, or adding new functionalities. Read on for more insights on the major distributions of Hadoop and how they are different from its standard edition.

Features of Apache Hadoop

Before moving ahead with the stack of top Hadoop...

Common business solutions and conventional analytics are now giving way to more informed and complicated Big Data analytics. With better-analyzed results in their hold, data scientists are making more result-oriented data-driven decisions, analyzing massive volumes of data, and amassing more useful knowledge databases than ever before. So, how do billions of rows of structured, semi-structured, and unstructured data, with millions of combinations in abundant formats and multiple data stores,...

Be it Oracle’s ORCL +0.00%, Microsoft’s MSFT +0.00% Access, or IBM’s IBM -0.61%’s DB2, these relational databases form a solid backbone for all kinds of data accumulation and storage needs. They are indispensable for structuring and accessing most forms of data; but then, they have their limitations when it comes to handling the complexities of extremely large-sized data sources. This is where a totally new category of the database comes to the rescue for handling Big Data challenges, and how!...