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Google BigQuery Architecture for Data Engineers

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Google’s BigQuery is an enterprise-grade cloud-native data warehouse. BigQuery was first launched as a service in 2010, with general availability in November 2011.

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Data Challenge End: ‘Road to Safety Traffic Accident Analysis’

Ocean Protocol

Key Discoveries Participants delved into over a decade’s worth of traffic accident data, uncovering patterns and trends that could inform future safety measures. This map also provides an example of proficient Data visualization, transformation, and delivery. Hospitalet de Llobregat: 392 accidents 6. Tarragona: 388 accidents 7.

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Understanding earthquakes: what map visualizations teach us

Cambridge Intelligence

Analysts rely on our data visualization toolkits to spot hidden patterns in their visualized data. What role can interactive data visualization play? There are over 23,000 earthquake records in there, so to keep things more manageable, I focused only on those that happened between 2010-2016.

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Top 9 AI conferences and events in USA – 2023

Data Science Dojo

A Glimpse into the future : Want to be like a scientist who predicted the rise of machine learning back in 2010? Link to event -> Generative AI and Data Storytelling Here are some of the key takeaways from the article: Generative AI is a type of artificial intelligence that can create new content, such as text, images, and music.

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Quan Sun on finishing in second place in Predict Grant Applications

Kaggle

In 2009 and 2010, I participated the UCSD/FICO data mining contests. Based on the information and assumptions above, I decided to mainly use data points from 2007 and 2008 for training my classifiers, which turns out to be a reasonable choice. What tools I used Software/Tools used for modelling and data analysis: Weka 3.7.1

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U.S. Census data reveals growing racial and ethnic diversity

Tableau

Census Bureau who are using Tableau to visualize race and ethnicity data from the 2020 Decennial Census. The 2020 Census data reflect the richness and complexity of how people identify their race and ethnicity, and we wanted that information to be easily accessible to various users. The answer: data visualizations.

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U.S. Census data reveals growing racial and ethnic diversity

Tableau

Census Bureau who are using Tableau to visualize race and ethnicity data from the 2020 Decennial Census. The 2020 Census data reflect the richness and complexity of how people identify their race and ethnicity, and we wanted that information to be easily accessible to various users. The answer: data visualizations.

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