DATABASE FUNDAMENTALS
BASICS OF BIG DATA
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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C
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Python
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Java
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R
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SQL
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Detailed explanation-1: -C and C++ are comparatively faster than other programming languages, making them well-suited candidates for developing big data and machine learning applications.
Detailed explanation-2: -Java, Python, R, and Scala are commonly used in big data projects. In a series of articles, I am describing these languages briefly and the reasons for their popularity among data scientists.
Detailed explanation-3: -Python provides a huge number of libraries to work on Big Data. You can also work – in terms of developing code – using Python for Big Data much faster than any other programming language. These two aspects are enabling developers worldwide to embrace Python as the language of choice for Big Data projects.
Detailed explanation-4: -Python and SQL are popular languages in the world of data. The critical difference between them is that while Python is a high-level programming language used for building applications and data exploration, SQL is a high-performance language used to communicate with databases.