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A Gentle Introduction to Analytical Stream Processing

Towards Data Science

From Enormous Data back to Big Data Say you are tasked with building an analytics application that must process around 1 billion events (1,000,000,000) a day. While this might feel far-fetched at first, due to the sheer size of the data, it often helps to step back and think about the intention of the application (what does it do?)

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How Big Data Analysis helped increase Walmarts Sales turnover?

ProjectPro

One petabyte is equivalent to 20 million filing cabinets; worth of text or one quadrillion bytes. With tons of unstructured data being generated every hour, Walmart is improving its operational efficiency by leveraging big data analytics. petabytes of unstructured data from 1 million customers every hour.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

Metadata for a file, block, or directory typically takes 150 bytes. Finally, NoSQL databases are frequently used in real-time analytics applications, such as streaming data from IoT sensors. In other words, having too many files will lead to the generation of too much metadata.