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Understanding earthquakes: what map visualizations teach us

Cambridge Intelligence

FREE: The ultimate guide to graph visualization Proven strategies for building successful graph visualization applications GET YOUR FREE GUIDE The earthquakes data source The data I used is from the USGS’s National Earthquake Information Center (NEIC), whose extensive databases of seismic information are freely available. Tōhoku earthquake.

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BORN Ontario data breach exposed pregnancy care information

Dataconomy

In Ontario, a severe data breach left the medical records of mothers, newborn infants, and those seeking pregnancy solutions vulnerable (Image: Kerem Gülen/Midjourney ) As per the latest updates, no platform or accessible database has been provided for the public to conclusively determine if their personal data was exposed.

Database 103
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6 Spectacular Reasons You Must Master the Data Sciences in 2020

Smart Data Collective

The concept of data science was first introduced in 2001, but it started gaining popularity in 2010. It may be dealing with data, but it doesn’t have a lot to do with databases. Sexiest Job of 21 st Century. By 2016, everyone wanted to hire a data scientist, and everyone wanted to be a data scientist.

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How To Set up a NL2SQL System With Azure OpenAI Studio

Towards AI

2782 2122 3 UC San Diego 01/01/2010 Bachelor of Science in Marketing */-Maintain the SQL order simple and efficient as you can, using valid SQL Lite, answer the following questions for the table provided above. Data Science. Data Science.

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Manage your Amazon Lex bot via AWS CloudFormation templates

AWS Machine Learning Blog

AWSTemplateFormatVersion: "2010-09-09" Transform: AWS::Serverless-2016-10-31 Description: CloudFormation template for book hotel bot. Similarly, you can use a Lambda function for fulfillment as well, for example writing data to databases or calling APIs save the collected information. Resources: # 1.

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Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

AWS Machine Learning Blog

MongoDB Atlas MongoDB Atlas is a fully managed developer data platform that simplifies the deployment and scaling of MongoDB databases in the cloud. Setup the Database access and Network access. He has more than two decades of experience in Database and Cloud technologies. Note we have two folders.

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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning Blog

Overview of RAG RAG solutions are inspired by representation learning and semantic search ideas that have been gradually adopted in ranking problems (for example, recommendation and search) and natural language processing (NLP) tasks since 2010. Load into the SQL database for later querying. Modern LLMs are good at generating SQL.

SQL 103