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Ben Wellington How we found the worst place to park in New York City — using big data

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Lessons List | 20 Lesson

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93 Reviews
DABOU AMANI ELISEE

bonne application 2025-06-07

Sony Kumari

Good 2024-09-11

Levyn Benjamin

I'm very happy of learning big data with mindluster it has really helped me learn alot from it. 2023-12-09

jorge deda

The course reshaped my entire perception of the applicability of big data in ordinary everyday instances. 2023-12-06

Shivam Mishra

Good and comprehensive 2023-12-03

Priyansh Sharma

Very nice 2023-11-30

Dev Agrahari

Amazing it will help for u & me 2023-11-30

JAYESH BHATT

The course is very amazing providing lots of knowledge. 2023-11-29

kajal patel

Good site 2023-11-23

Kevin Ntouzoo

it was of great use 2023-11-23

Ritesh Kumar

Best 2023-11-21

Mohammad Bayat

perfect 2023-11-19

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Course Description

What is big data in artificial intelligence? Big Data Is Too Big Without AI. ... By the time the term was coined, Big Data had accumulated a massive amount of stored data that, if analyzed properly, would reveal valuable insights into the industry to which that particular data belonged.What is big data used for? Big data has been used in the industry to provide customer insights for transparent and simpler products, by analyzing and predicting customer behavior through data derived from social media, GPS-enabled devices, and CCTV footage. The Big Data also allows for better customer retention from insurance companies.What is big data and its types? Variety of Big Data refers to structured, unstructured, and semistructured data that is gathered from multiple sources. While in the past, data could only be collected from spreadsheets and databases, today data comes in an array of forms such as emails, PDFs, photos, videos, audios, SM posts, and so much more.What are the 4 V's of big data? The Four V's of Big Data IBM data scientists break big data into four dimensions: volume, variety, velocity and veracity.Is big data the future? 1. Data volumes will continue to increase and migrate to the cloud. The majority of big data experts agree that the amount of generated data will be growing exponentially in the future. In its Data Age 2025 report for Seagate, IDC forecasts the global datasphere will reach 175 zettabytes by 2025.
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