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Welcome to Hadoop360! A Data Science Central Community Channel devoted entirely to all things Hadoop.

  • Top Hadoop Big Data Interview Questions and Answers

    Find below the list of Hadoop interview questions and answers jotted down to help job seekers

    Question: What is Hadoop and its workings?

    Answer: When “Big Data” appeared as problematic, Apache Hadoop changed as an answer to it. Apache Hadoop is a context which offers us numerous facilities or tools to store and development of Big Data. It benefits in analysing Big Data and creation business decisions out of it, which can’t be done professionally and successfully using…

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  • Guest blog post by Bill Vorhies

    Summary:  The shortage of data scientists is driving a growing number of developers to fully Automated Predictive Analytic platforms.  Some of these offer true One-Click Data-In-Model-Out capability, playing to Citizen Data Scientists with limited or no data science expertise.  Who are these players and what does it mean for the…

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  • Ten top languages for crunching Big Data

    Guest blog post by Bernard Marr

    With an ever-growing number of businesses turning to Big Data and analytics to generate insights, there is a greater need than ever for people with the technical skills to apply analytics to real-world problems.

    Computer programming is still at the core of the skillset needed to create algorithms…

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  • Recent technological advancement has seen a lot of sectors improve and the analytics sector has not been left behind. The latest advances in the Apache Hadoop system is a major improvement to the Hadoop’s viability as far as data storage is concerned. With these advances, it is clear that…

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  • PhalconPHP: A Solution for High-load RESTful APIs

    BY Andrew Belousoff

    Suppose you need to create a high-load project based on a PHP MVC framework. You would probably use caching wherever possible. Maybe you would build the project in a single file, or maybe even write your own MVC framework with minimal functionality, or rewrite some parts of another framework. While, yes, this works, it’s a…

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  • Data Engineering

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    With the rise of  and data science, many engineering roles are being challenged and expanded. One new-age role is .

    Originally, the purpose of data engineering was the loading of external data sources and the designing of databases (designing and developing pipelines to…

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  • Boost Your Data Munging with R

    The R language is often perceived as a language for statisticians and data scientists. Quite a long time ago, this was mostly true. However, over the years the flexibility R provides via packages has made R into a more general purpose language. R was open sourced in 1995, and since that time repositories of R packages ar constantly growing. Still, compared to languages like Python, R is strongly based around the data.

    Speaking about data, tabular data deserves particular attention, as…

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  • Guest blog post by Alessandro Piva

    The proliferation of data and the huge potentialities for companies to turn data into valuable insights are increasing more and more the demand of Data Scientists.

    But what skills and educational background must a Data Scientist have? What is its role within the organization? What tools and programming languages does…

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