Amazon has a tendency to predict what people want, even before people themselves are aware of it. Uber predicts traffic patterns and demands beforehand and adjusts its pricing accordingly. Education institutions study the patterns of student behavior and design courses using this data. The efficiency of waste management systems and traffic systems in Barcelona, Spain have drastically improved after the use of tools to automatize these systems based on behavior and prediction. All these institutions have one thing in common. They have made use of Big Data engineers to improve the services or products they deliver.
Given that more than a million analysts will be required in 2018, it is no surprise that many software professionals are making the leap into data analysis. The importance of learning Apache Hadoop cannot be stressed on enough. Hadoop revolutionized the storage of large amounts of data by distributing them into nodes so they can be extracted faster than in traditional modes of storage. Fortunately, several courses are available for big data and hadoop training. These courses are taught by experts who have been in the field for over a decade.
It doesn’t matter if one believes in the value of Big Data, it is here to stay. Making its mark as one of the highest paid jobs in the USA in 2016, the demand for data professionals has exploded in the present times. Technical skills like proficiency in Apache Kafka and SQL (among other skills) are a big plus when trying to break into the field of data analysis.
Read the infographics given below to learn more about Big Data.