Full Stack Big Data

You got a big data project. You understand all the ins and outs of the domain, and probably you’ve decided what framework you will use or what infrastructure to use to process all that data, but if you are confused about which programming language to employ for your big data project, this post is for you. Though there are many options to choose from -- Java and Python to R and Scala, picking the right programming language for your big data project can make a big difference between a highly successful project and one that only scratches its potential.  Here's a quick rundown of each programming language to help guide your decision #1 Python The field of big data and data science being relatively new, many erudite folks are to be seen constantly debating about the pre-eminent programming language for big data.  You might know that Python has been present for over a decade, and is more popular in academic circles. Its forte lies in Natural Language Processing (NLP). ...

In the realm of big data and analytics, a certification in Hadoop is something that can bring you not only a high-paying job, but also a smooth gateway to success. If you earn a certification in Hadoop, finding employment in a leading business organization and climbing the ladder to the top position in your organization becomes easier. Now, let us try to find out why certification in Hadoop is such a big thing in the realm of big data and analytics. The primary reason why Hadoop certification is gaining popularity is the ubiquitous presence of big data. Today, big data is invading almost every industry vertical from media and healthcare to engineering, retail and even government services. You might be familiar with the Forbes 2015 report, which says that around 90% of global commercial institutions are investing profoundly in big data and data analytics, which can drive huge returns on investment, giving you a big reason to get a Hadoop certification. Moreover, did you kno...