Earlier in the data science field, there had been only one programming tool that ruled the conventional nest. SAS programming has been in the data analytics field for the last 30 or so years, being the default software in many companies; it enjoys a large client base of around 40000. However, recently there has a big shift from this paid licensed software to the more flexible, open-sourced data analytics tool, Hadoop programming. Organisations that have been the originators across many fields, such as , Yahoo, eBay, Amazon, Microsoft and IBM, have already started to update and include this tool or have started recruiting Hadoop experts. Looking at the latest trends, every data science aspirant would know that Hadoop skills are the skills to obtain.
Everybody knows about this new change in the data analytics field and it has resulted in lots of technology professionals, choosing to learn this tool’s ropes. There is an array of specialisation certification courses one can select from. Data Brio Academy offers a wide comprehensive certification in big data courses. We provide you with the analytics training programs with hands-on and practical experiences so that you can make yourself ready for an industry standard job.
The primary background in the technology field helps learn big data Hadoop. But a candidate should also have the knowledge of Linux and Java. If you want to explore the Hadoop field, then the learning of both Java and Linux is highly required.
One of the most key aspects of Hadoop would be that, albeit it might be really compatible when working with Windows, it was designed on Linux. Thereby, it’s the most desired OS when it comes to installing and handling Hadoop. So, it is provided, that having skills in Linux will be beneficial. Aside from Java, there are other languages can be learnt with Hadoop, such as C, C++ and so forth. While learning these programming languages, is required for getting trained in this data analytics tool, you can straight leap to learning the tool also. Tools like Pig or Hive are there, which can also help you learn big data Hadoop. The added benefit with C or C++ is that it helps you work with pipes in Hadoop, which helps the data mapping part. While Hadoop can’t be replaced with other industrial tools, it’s an enhanced version of the present tools.