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The Good and the Bad of Hadoop Big Data Framework

AltexSoft

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. The Hadoop toy. So the first secret to Hadoop’s success seems clear — it’s cute. What is Hadoop?

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Big data enables businesses to gain a deeper understanding of their industry and helps them extract valuable information from the unstructured and raw data that is regularly collected.

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Data Science vs Artificial Intelligence [Top 10 Differences]

Knowledge Hut

The field of Artificial Intelligence has seen a massive increase in its applications over the past decade, bringing about a huge impact in many fields such as Pharmaceutical, Retail, Telecommunication, energy, etc.

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20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

To build a big data project, you should always adhere to a clearly defined workflow. Before starting any big data project, it is essential to become familiar with the fundamental processes and steps involved, from gathering raw data to creating a machine learning model to its effective implementation.

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AutoML: How to Automate Machine Learning With Google Vertex AI, Amazon SageMaker, H20.ai, and Other Providers

AltexSoft

Telecommunications: predicting equipment failure. Standing for Mobile Broadband Network LTD, MBNL is a leading provider of telecommunication services, jointly owned by two British most innovative mobile operators. Why and when do you critically need data scientists? You are going to explore data, using unsupervised learning.