Hadoop is a Java-based programming framework. It supports the processing of large data sets in a distributed computing environment. This makes it possible to run applications on systems with thousands of nodes involving thousands of terabytes. Its distributed file system makes rapid data transfer rates among nodes possible. It also allows the system to continue operating uninterrupted in case of a node failure.
Embarking on a career as a data analyst has become more common nowadays, since the vacancies for data analysts, data engineers and data scientists have been on the rise over the past few years. This is mainly because, for many businesses, big data converts into several benefits, including more cash. To become a data scientist or analyst, there are various things to consider as well as skills that one should have.
For starters one should know how to set up the data infrastructure, and to be highly analytic. Analysing data is a key part of such a job, and a data analyst will also need to have experience on how to create data visualizations, and use database querying languages, statistical programming languages and other big data tools. Software engineering skills are also a must-have for a data analyst. A good data analyst will also need to be comfortable with math and statistics. Being able to understand different machine learning tools is also important for a big data scientist. Big data analytics is a serious profession that calls for individuals who are willing to work meticulously and conscientiously.
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