Join the best Big Data Hadoop Training Online with Certification
With the increase in globalization and advancement in technology, the sources of data generation have also increased. Today many sectors are producing humongous amounts of data every minute. Half of the data is being generated from Social Media Sites, Stock Exchange, and Financial Institutions. These large datasets are known as big data. Earlier it was easy for the traditional means of data processors to store and process this big data as the data was mostly in a linear and structured format. But today the data is divided into three types:
- Structured: These are mostly numeric datasets
- Semi-structured: It includes data like XML data
- Unstructured: This is the detailed kind of data that would include PDF, Word Doc., Media Log, etc.
Today it has becomes important for the companies to properly process and store this giant data as when processed correctly it provides the companies with some great valuable insights that help them while taking any crucial decision and moreover helps in saving a lot of money. Let us now discuss the benefits of processing Big Data:
- There are various beneficial insights that big data provides that further helps the company to get prepared in advance for any future risk.
- The insights gained after the processing helps the company to stay one step ahead of its competitors, thus providing a major competitive advantage.
- Many times the big data helps companies to analyze the main reason for their failure as it processes the data from the very starting point.
- The best part is that companies can improve customer engagement and loyalty by gaining valuable insights from the processed big data.
One of the reasons to use software to process this big data is its format, that is, raw and unstructured. Now the main question arises that which of the latest software is capable enough to store, maintain and process this big data as the traditional means have proven to be unsuccessful. And the answer is Hadoop Software. Today many different sectors are using this software to handle and process their big data, like Healthcare, Banking, Digital Media, Marketing, Educational, Law Making, Science and Smart Cities. Hadoop Framework is an Apache product that is open source and is written in Java Language. Launched on 10th of December, 2011 Hadoop framework uses a MapReduce programming model that helps in processing the big data from across cluster of machines.
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MapReduce is an algorithm that helps in dividing the tasks into small parts and further assigns them to different computers. After that, it collects the results from every system and blends them together and provides detailed datasets. This way Hadoop handles a huge amount of data and offer statistically analyzed and processed results.
Now if we talk about the architecture layer of Hadoop, there are 4 layers in it:
- Processing layer handled by MapReduce
- Storage Layer that is known as HDFS (Hadoop Distributed File System)
- Hadoop Common
- Hadoop Yarn
Today it has become important for the employees to be familiar with the working of Hadoop Framework. For this, they can join the best Big Data Hadoop Training Online with Certification provided by one of the best training providers, KVCH. Here the candidates will get training from industry experts and are made to work on real-time industry projects that help them in understanding the domain and builds their confidence. Moreover, the online sessions are live where the candidates can clear their quires right way. After the successful completion of the program, candidates are awarded a globally recognized certificate.
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