Hadoop is used to handle Big Data. Big Data is a set of vast data that arrives in big packets at high speeds and mounds in large volumes in different formats and sizes. Big Data can be either structured or unstructured data. The data can be in the form of log files, backlogs, entries, audio, video, text, etc.
Understanding and Processing data
The flow of large amount of data can have some important piece of information and may go unchecked. Ignoring such vital piece of information can have a huge impact on the operations of the organization. Social media postings may provide some important clues about customer’s preferences. Similarly, some other pattern in the data beneficial for the organization can be understood by sifting through vast sea of data. Not only these, it may have information about security threats or anything related to business which may be of high significance.
How can Hadoop be helpful in such circumstances?
Hadoop is designed to manage huge gamut of data. It has the capability to break down the vast amount of information into smaller pieces and do parallel processing to speed up the task and make use of the available resources efficiently. Not only is Hadoop highly scalable and flexible but also it has built-in features for fault tolerance.
Hadoop Training to deal with data flow
Professionals dealing with Big Data can attend Hadoop Administration online training from a reputed institute and become proficient in tackling the large influx of data stream in smart and efficient ways. Hadoop Administration Training is one of the best options to learn Hadoop framework. The Hadoop Administration course starts with the basics of Apache Hadoop and Hadoop Cluster. Further, the training program focuses on Hadoop Architecture, Hadoop Installation, Hadoop Security, and Hadoop Culture. In addition, candidates also get to acquaint themselves with:
Post the completion of Hadoop Administration training and being well versed with Hadoop concepts, professionals will be in a position to successfully deploy the Hadoop architecture to troubleshoot and fix the live issues related to Hadoop Cluster.