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Showing posts from January, 2022

Hadoop For Java Professionals

  Java developers have the highest possibilities of exponential salary hikes when they upgrade themselves for in-demand big data jobs with trending skills like Hadoop. According to the recent Industry Analytics Report, Hadoop professionals with Java skills are getting a 250% salary hike as you heard about the excitement revolving of big data Hadoop roles. Most of the peer Java professionals have already been on the track of career shifting in big data Hadoop to secure a promising career path by gaining expertise in big data tools like Hadoop.  The recent survey done by Gartner which is taken from 700+ global clients clearly shows that 64% of industries are investing heavily in big data technologies. The companies have found that the traditional relational databases are ineffective in handling the complex and large amounts of data that are generated worldwide every day. It leads to the rise of Apache Hadoop that contains tremendous benefits such as flexibility, faster, economic...

All You Need To Know About Hadoop

  Hadoop is the trending and popular platform for big data processing and it is used to store and process huge amounts of data. Hadoop is the best and open-source software framework that provides numerous components for global companies to implement various big data projects. It is offering massive storage space for all kinds of data with exponential processing power and the ability to support an unlimited number of virtual tasks. Hadoop is developed using Java and it is sponsored by Apache Software Foundation. Brief History of Hadoop Search engines were created to help locate information that people are searching on the internet. Initially, the search results are returned by humans manually and when the number of pages is added to millions, automation became essential for returning search results. Then came Yahoo and AltaVista, Nutch, and Google. The main goal of these search engines is to deliver web search results faster using data distribution techniques and calculations. The N...