Explain the difference between Hadoop and RDBMS?

More Wisam Mohammed Abed Alqaraghuli's questions See All

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Big data analytics? Which is the best online course to learn big data analytics?

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Which is the best framework to use for building deep learning models to process big data (hadoop cluster), tensorflow or h2o?

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No title

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Performance Analysis of Big Data ?

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Performance Analysis of Big Data ?

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Anyone can help in Big Data Analytics using Hadoop?

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Anyone can help in Big Data Analytics using Hadoop?

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Is it possible to create an IoT-based big data solution ?

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What is the best way to use Hadoop and R together for analysis?

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Rui Humberto Pereira

Hadoop is a framework for storing and process data (big data) in several formats such CSV files. Hadoop is composed by several components such as distributed files system (HDFS) and a runtime environment that runs MapReduce programs for processing data physically distributed in datanodes.

On the other hand, a RDBMS (Relational database management system) store data in logical structures such tables, columns and rows. In order to read/write data, the user use the dialect SQL.

Chuck A Arize

Hadoop and RDBMS are two different technologies used for storing and processing data. Hadoop is a distributed file system that can store large amounts of unstructured data across multiple servers. It is designed to handle big data and can scale horizontally as more data is added. RDBMS, on the other hand, is a relational database management system that stores data in tables with rows and columns. It is designed to handle structured data and is used for transactional processing.