Hadoop is a kind of software that can provide massive storage for any kind of data and creates an enormous processing power. It has the ability to handle virtually limitless concurrent tasks or jobs. Whereas big data is a large volume of data, that can be formatted in unstructured and structured data. The Hadoop can be efficiently performed with advanced analytics and it includes predictive analytics, data mining and machine learning applications. If you want to know how to capture a collection of data sets in a minute then attend the best big data Hadoop training to get a better result.
What is big data?
Big data is the collection of data that should be huge in size and yet growing exponentially with time. Mainly it helps the organizations to create a new growth opportunity with an entirely new category of companies that can combine and analyze the industry data. It can capture and analyze ample information about the products and services, buyers and suppliers and consumers. The big data training is a great way to know how to collect a large amount of data easily. Here you have some points that will help you to understand how big data is available in three formats includes:
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Unstructured: Most of the data are not structured and not easy to analyze. So these types of data are noted as unknown schemas such as video files or audio files etc.
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Semi-structured: In this format, the data will not be structured fully. Some are structured and some are not structured so it does not have a fixed format such as JSON, XML etc.
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Structured: In this type, the data are fully organized with fixed schema such as RDBMS and it makes it easier to process and analyze.
Usage of big data
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Social networking sites
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Transportation process
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Healthcare and education systems
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Agricultural aspects
What is Hadoop?
Hadoop is an open-source software framework that can be commonly used for processing and storing a large cluster of commodity hardware in a distributed manner. It can be used to store all kinds of structured, semi-structured and unstructured data in a single phase. It helps to access data at a faster rate when compared to the other tools. Hadoop certification is the best way to become a good developer to run and compile the big data. This certification will help the Hadoop developers to handle and process the large volume of big data. However, it is capable of storing big data.
Features of Hadoop
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This framework is best-suited for big data analysis
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It will help to enhance customer satisfaction and monitor online reputation
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The primary function of Hadoop is store, process and analyzes the massive volume of data and successfully track the click-stream data
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The Hadoop is an excellent tool to extract errors or detect the occurrence of any suspicious events
Usage of Hadoop
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Finance sectors
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Security and law enforcement
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Retail industry
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Healthcare sectors
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Financial trading and forecasting sectors
Wrapping it up
Hadoop is an open-source Java-based framework. But the big data and Hadoop are more important to collect a large number of data and store, process and analyze with a collection of assets. Make use of these points and get a clear understanding about big data and Hadoop usages.
