30+ Big Data Interview Questions
Analytics Vidhya
JANUARY 17, 2024
Introduction In the realm of Big Data, professionals are expected to navigate complex landscapes involving vast datasets, distributed systems, and specialized tools.
Analytics Vidhya
JANUARY 17, 2024
Introduction In the realm of Big Data, professionals are expected to navigate complex landscapes involving vast datasets, distributed systems, and specialized tools.
Analytics Vidhya
AUGUST 9, 2024
A New Era of Big Data Processing appeared first on Analytics Vidhya. This latest update promises to be a game-changer, packed with powerful new features, remarkable performance boosts, and improvements that make […] The post Apache Spark 4.0:
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Analytics Vidhya
OCTOBER 30, 2022
The post Relationship Between Facebook and Big Data appeared first on Analytics Vidhya. Introduction Source – Unsplash You must often receive birthday notifications from Facebook, like “Amit Pathak and 4 others have their birthday today” What is so special about this notification?
Analytics Vidhya
SEPTEMBER 28, 2022
Introduction Big data is now an unreplaceable part of tech giants and businesses. Business applications range from customer fraud detection to personalization with extensive data analytics dashboards. Computing power and automation capability are essential for big […]. They also lead to more efficient operations.
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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.
Analytics Vidhya
JANUARY 31, 2023
Introduction Big data is revolutionizing the healthcare industry and changing how we think about patient care. In this case, big data refers to the vast amounts of data generated by healthcare systems and patients, including electronic health records, claims data, and patient-generated data.
Analytics Vidhya
SEPTEMBER 21, 2022
This article was published as a part of the Data Science Blogathon. Introduction “Big data in healthcare” refers to much health data collected from many sources, including electronic health records (EHRs), medical imaging, genomic sequencing, wearables, payer records, medical devices, and pharmaceutical research.
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Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.
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Businesses today compete on their ability to turn big data into essential business insights. To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data.
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