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How is Big Data Helping in the Development of Healthcare?

Analytics Vidhya

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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What is Big Data? A Quick Introduction for Analytics and Data Engineering Beginners

Analytics Vidhya

Overview: Learn what is Big Data and how it is relevant in today’s world Get to know the characteristics of Big Data Introduction. The post What is Big Data? A Quick Introduction for Analytics and Data Engineering Beginners appeared first on Analytics Vidhya.

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30+ Big Data Interview Questions

Analytics Vidhya

Introduction In the realm of Big Data, professionals are expected to navigate complex landscapes involving vast datasets, distributed systems, and specialized tools.

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Relationship Between Facebook and Big Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. The post Relationship Between Facebook and Big Data appeared first on Analytics Vidhya. When you look closely at all these birthday notifications, you will find that the name […].

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Top Considerations for Building an Open Cloud Data Lake

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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The Origin of Big Data Analytics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. 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. They also lead to more efficient operations.

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An Introduction to Hadoop Ecosystem for Big Data

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Every day the internet generates billions of bytes of data. Every time you put on a dog filter, watch cat videos or order food from your favourite restaurant, you generate data. Imagine how much data millions of other people are doing the […].

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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

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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Embedding BI: Architectural Considerations and Technical Requirements

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.