SQL is the top choice for data analytics because it was designed for structured data, complex queries, and managing relationships between data. Its standard syntax and popularity make it easy to filter, group, and join data efficiently. SQL works well with reporting and analysis tools. Relational databases using SQL keep data consistent and accurate, which is critical for analytics. While NoSQL is flexible, SQL’s reliable and advanced query capabilities make it the most widely used option for analysing data.
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