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What is big data and Hadoop?

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Big data refers to extremely large datasets that cannot be easily managed or analyzed using traditional data processing tools. Hadoop is an open-source framework designed to store and process big data across distributed computing systems, using components like HDFS for storage and MapReduce for data...
read more
Big data refers to extremely large datasets that cannot be easily managed or analyzed using traditional data processing tools. Hadoop is an open-source framework designed to store and process big data across distributed computing systems, using components like HDFS for storage and MapReduce for data processing. read less
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I am online Quran teacher 7 years

Big data refers to extremely large datasets that cannot be easily managed or analyzed using traditional data processing tools. Hadoop is an open-source framework designed to store and process big data across distributed computing systems, using components like HDFS for storage and MapReduce for data...
read more
Big data refers to extremely large datasets that cannot be easily managed or analyzed using traditional data processing tools. Hadoop is an open-source framework designed to store and process big data across distributed computing systems, using components like HDFS for storage and MapReduce for data processing. read less
Comments

I am online Quran teacher 7 years

Big data refers to extremely large datasets that cannot be easily managed or analyzed using traditional data processing tools. Hadoop is an open-source framework designed to store and process big data across distributed computing systems, using components like HDFS for storage and MapReduce for data...
read more
Big data refers to extremely large datasets that cannot be easily managed or analyzed using traditional data processing tools. Hadoop is an open-source framework designed to store and process big data across distributed computing systems, using components like HDFS for storage and MapReduce for data processing. read less
Comments

I am online Quran teacher 7 years

Big data refers to extremely large datasets that cannot be easily managed or analyzed using traditional data processing tools. Hadoop is an open-source framework designed to store and process big data across distributed computing systems, using components like HDFS for storage and MapReduce for data...
read more
Big data refers to extremely large datasets that cannot be easily managed or analyzed using traditional data processing tools. Hadoop is an open-source framework designed to store and process big data across distributed computing systems, using components like HDFS for storage and MapReduce for data processing. read less
Comments

I am online Quran teacher 7 years

Big data refers to extremely large datasets that cannot be easily managed or analyzed using traditional data processing tools. Hadoop is an open-source framework designed to store and process big data across distributed computing systems, using components like HDFS for storage and MapReduce for data...
read more
Big data refers to extremely large datasets that cannot be easily managed or analyzed using traditional data processing tools. Hadoop is an open-source framework designed to store and process big data across distributed computing systems, using components like HDFS for storage and MapReduce for data processing. read less
Comments

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Related Questions

I want to learn Hadoop admin.
Hi Suresh, I am providing hadoop administration training which will lead you to clear the Cloudera Administrator Certification exam (CCA131). You can contact me for course details. Regards Biswanath
Suresh

What is difference between data science and SAP. Which is best in compare for getting jobs as fast as possible

Hi Both have different uniquness with importance value. you will get a good prospectives on SAP for career growth.
Ravindra
What are the biggest pain points with Hadoop?
The biggest pain points with Hadoop are its complexity in setup and maintenance, slow processing due to disk I/O, high resource consumption, and difficulty in handling real-time data.
Anish
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Should Cloudera or MapR be used for Hadoop distribution?
Cloudera is preferred as MapR is discontinued and Cloudera offers strong support and integration.
Chandra
0 0
5

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