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Hadoop is a framework based on Java programming language, capable of managing and processing huge sets of data. In terms of its utility, Hadoop helps organisations make interpretations and draw insights from structured, semi-structured and unstructured data.
Now, from one's career standpoint, you might well be thrilled to know that organisations are in need of Hadoop professionals who can help them manage data and make business decisions as well, by processing the gathered data. And, in this day and age when data sources are aplenty and consequently accumulation of data is also massive, the significance and current demand for Hadoop professionals just cannot be stressed enough.
If working with data is of interest to you—few aspects are more interesting than managing and analysing data—then there is no reason why you should not consider enrolling yourself into Hadoop training course. Below are the ‘aspects to know’ before you enrol yourself into Hadoop training. Read on!
The fundamental pre-requisites for candidates who want to enrol into Hadoop certification course are:
Hadoop training is aimed at:
90-100 hours is the quintessential duration of Hadoop certification course, with instructor-led training, practical and self-learning completed during the above mentioned period. Training institutes afford their candidates tremendous flexibility in class timings, meaning you can balance your work schedule along with the Hadoop training schedule.
The Case for Apache Hadoop
Hadoop Distributed File System
Overview of the Hadoop Ecosystem
Planning your Hadoop Cluster
Managing and Scheduling Jobs
Cluster Monitoring and Troubleshooting
Populating HDFS from External Sources
Installing and Managing Other Hadoop Projects
Hadoop Distributed File System (HDFS)
Data accumulation and the need to manage huge sets of data are unlikely to diminish, simply because data sources are innumerable and they too are unlikely to come down in the years to come. Data scientists, data analysts, business analysts, and other personnel required to manage data, are in demand already and their stock is likely to go up in the coming years. Therefore, if you are looking for a change in career or are just starting out as a fresher, then big data analytics and Hadoop are areas you can consider entering into. This is a lucrative and one of the more interesting career options.