SQL vs Hadoop: Which one is better for Big Data processing?

SQL and Hadoop are two different technologies used for big data processing.

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SQL and Hadoop have its own strengths and weaknesses.

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SQL is a relational database management system that is well-suited for processing structured data.

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SQL is designed to store data in a tabular format and provides a standardised language.

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Hadoop is a distributed file system that is designed to handle large volumes of unstructured or semi-structured data.

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If you are dealing with structured or semi-structured data with relatively small volumes, SQL may be a good choice.

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SQL databases can be expensive to scale up while Hadoop can be more cost-effective due to its distributed architecture.

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SQL is a widely-used technology that many developers are familiar with, while Hadoop requires a more specialised skill.

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Unlocking the Power of IoT Data with SQL: A brief overview

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