The future of SQL in the age of NoSQL and Big Data

Despite the popularity of NoSQL databases, SQL continues to be relevant in today's world

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NoSQL databases are designed to handle large volumes of unstructured and semi-structured data

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But SQL remains the preferred choice for working with structured data.

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The rise of Big Data has led to the development of new technologies and data management paradigms, such as Hadoop and Spark.

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However, even in these contexts, SQL is still relevant. SQL-on-Hadoop technologies, such as Hive and Impala

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Similarly, many NoSQL databases, such as MongoDB support SQL-like query languages that allow users to query and manipulate data.

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Big data tools like spark and druid also supports SQL to querying and data manipulation.

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In summary the SQL remains an essential tool for working with structured data and will likely continue to be relevant for years to come.

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The role of Python in artificial intelligence and machine learning

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