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Updated on 22nd Mar, 23 2619 Views

Globally prevalent systems, dynamic business activities and rapid information processing needs make us more dependable on authentic information and related streamlined techniques for data handling.

Owing to this everything we do today has to be based on valid technique and compliant approach. To ascertain everything is in right shape and on right path, we need to first make sure that the big amount of data that we use for diversified needs of our business, is being handled, stored and processed well.

Watch this Hadoop Tutorial for Beginners video

The big amount of data we are talking about here is technically called Big Data. It is not that we just name it for the sake of defining its volume. It is not just the mass of data that qualifies it to mainstream Big Data regime – it’s the velocity by which the data travels and the variety it is being characterized with.

Apache Hadoop is the most popular Big Data technology based on Java language. It is an open source framework with high fault tolerance, used to run applications on large servers. Originally when Hadoop was developed in the year 2005 to handle the large amount of indexes for search engine by Doug Cutting and Michael J. Cafarella, nobody would have guessed then that it will go so far in offering us with the most robust platform for managing Big Data – for ever-rising business information needs of our lives.

The basic idea behind all this was to churn out the valuable data from a huge lump of it – to produce real and concrete opportunity for a business or a purpose. Hadoop helps the organizational data coming from different sources to connect on a common server and enables them to coordinate together to help analyzing them better in an all-inclusive and perceptible way.

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Today you will find big organizations like Google, IBM, Yahoo, Facebook and Amazon going with Haddop for handling the huge amount of data by way of optimally tracking, storing and distributing it – to make sure that the Big Data technology takes care of all of their information practices in the most reliable manner possible.

Certification in Bigdata Analytics

They are increasingly showing great interest in training their resources in Hadoop technology and making them utilize the best for the frequently and voluminously flowing data in their organization.

With Hadoop online training they are not just allowing their workforce to utilize the benefits of this technology but also opening up new avenues and add range to their existing functional process.

Looking to opt for Hadoop as a career? Read our blog at Hadoop Training – Virtual Classes for Big Data Management.

Hadoop Tutorials are catching trend fast. By engaging their pertinent operational wing in the professional data management and putting them in the compliant arrangement by way of online Hadoop training, these organizations make them use the unexplored data and filter the most resourceful part of it from the entire lump – to produce great opportunities for business.

Hadoop Training Online lets the workforce to remain in their regular work regime while training them on everything related to Hadoop technology – Hadoop Distributed File System, Map Reduction function, data series, functional properties and process management in a highly comprehensive and learner-friendly manner.

If you are looking forward to know more about Hadoop and Big Data, please visit our Hadoop Developer Page, or contact us if you want to enroll into our Online Hadoop Training Program.

Course Schedule

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Big Data Course 03 Jun 2023(Sat-Sun) Weekend Batch
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Big Data Course 10 Jun 2023(Sat-Sun) Weekend Batch
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Big Data Course 17 Jun 2023(Sat-Sun) Weekend Batch
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