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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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Samsung Embraces AI and Big Data, Revolutionizes Chipmaking Process

Analytics Vidhya

the world’s leading memory chip manufacturer, is set to revolutionize its chipmaking process using cutting-edge artificial intelligence (AI) and big data technology. Samsung Electronics Co.,

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DataHour: Your Free Gateway to the World of Data Science and Technology

Analytics Vidhya

Introduction Are you interested in learning about Apache Spark and how it has transformed big data processing? Whatever your interests, Analytics Vidhya’s DataHour sessions have got you […] The post DataHour: Your Free Gateway to the World of Data Science and Technology appeared first on Analytics Vidhya.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

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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. Holding onto old BI technology while everything else moves forward is holding back organizations.

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The Implications of Blockchain Technology on Big Data

Smart Data Collective

Big data technology has played a huge role in driving the demand for blockchain in recent years.

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Why HR professionals struggle with big data

CIO Business Intelligence

Over the next 15 years, more than 12 million people will retire, while technological progress will lead to major changes in occupations. By collecting and evaluating large amounts of data, HR managers can make better personnel decisions faster that are not (only) based on intuition and experience.