The Beginner’s Guide To HadoopDecember 5, 2016
The 21st Century is all set to go down in history, as the age of the data. Couple of decades in the past, experienced a great surge in activity in the virtual space. Although Internet was in existence for quite a while, but it is only now that it has realised its true potential. As internet came to be accessible to more people, this gave birth to a phenomenon that came to be known as ‘data’. AS technology advanced and people got access to more technological devices, data was generated with similar speed. This ‘data’ soon began to prove instrumental for various firms and companies, to add great value to their businesses. There emerged a whole new branch of studies known as ‘big data science’ and there existed various tools of data analytics, which helped professionals to give valuable insights in the growth the development of various firms. Today, the scenario is such that data is still being generated on a great scale, while there is an increasing dearth of people, who can derive value out of it. The lucrative aspect of careers here draws a lot of professionals towards Data Science. If you are a data science aspirant, then it is important for you to know all about the various tools of data analytics; especially about Hadoop.
Hadoop is an open source software, put together by Doug Cutting, Mike Cafarella and team in the year 2005, to combat various problems that search engines like Google were facing with analysing data. This is one tool, which can be downloaded free of cost, in its full form and is also a registered trademark of the Apache Software Foundation. In terms of its basic specifications, this software runs applications, by using the MapReduce algorithm and it is capable of not only developing, but also running applications on multiple computers at the same time. It can also perform full statistical analysis on great volumes of data with ease, which is one of the reasons why this data analytics tool is sought after by all.
The Hadoop framework is written is the Java language and consists of four different modules namely, Hadoop Common, Hadoop Yarn, Hadoop Distributed File System and Hadoop MapReduce. The term Hadoop is no longer used, only in the reference of all of its base modules, but it is also used to refer to the collection of additional software packages, which can be used alongside the Hadoop software like, Python, Pig and so on. There are many advantages of this software like the fact, which is efficient enough to allow the user to write as well as test distributed systems, while utilizing the parallelism of the CPU cores. It does not rely on any hardware, rather its own library, which has been designed to detect and handle failures. Being java based is one of the great advantages of Hadoop, apart from being free and easy to download, it also is compatible on all platforms.
With the increasing popularity of this data analytics tools. Imarticus Learning, is a one of the top educational institute which is become popular due to their esteemed courses in SAS Programming, R Programming, Hadoop and so on.