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What is Apache Hadoop?

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Apache Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. Instead of using one large computer to store and process the data, Hadoop allows clustering multiple computers to analyze massive datasets in parallel...
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Apache Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. Instead of using one large computer to store and process the data, Hadoop allows clustering multiple computers to analyze massive datasets in parallel more quickly. read less
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Apache Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. Instead of using one large computer to store and process the data, Hadoop allows clustering multiple computers to analyze massive datasets in parallel...
read more
Apache Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. Instead of using one large computer to store and process the data, Hadoop allows clustering multiple computers to analyze massive datasets in parallel more quickly. read less
Comments

Related Questions

what is the minimum course duration of hadoop and fee? can anyone give me info.
Hi, Hadoop ,Apache Spark and machine learning . Fees 12k
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How do I switch from QA to Big Data Hadoop while having little knowledge of Java?
yes.for big data java basic knowledge is helpfull
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Which Hadoop course should I take?
Take apache spark and scala course . Spark is high on demand now and one of the highly efficient and heavily used bigdata tools in market.I do provide Apache spark with scala and python course . You can reach me out for more details
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What are the Hadoop Technologies that are hot in the market right now?
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How many nodes can be there in a single hadoop cluster?
A single Hadoop cluster can have **thousands of nodes**, depending on hardware and configuration.
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