Visualize the 10,000 Bitcoin Pizza Transaction Using BigQuery and AI Notebooks
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use an AI Platform Notebook instance to retrieve as many transactions as possible from BigQuery within 2 degrees of separation from the pizza exchange, post-process the transactions to remove excess transaction, then visualize the directed graph.
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- Level Foundation
- المدة 1 ساعات hours
- الطبع بواسطة Google Cloud
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This is a self-paced lab that takes place in the Google Cloud console. In this lab you will use an AI Platform Notebook instance to retrieve as many transactions as possible from BigQuery within 2 degrees of separation from the pizza exchange, post-process the transactions to remove excess transaction, then visualize the directed graph.الوحدات
Visualize the 10,000 Bitcoin Pizza Transaction Using BigQuery and AI Notebooks
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- Visualize the 10,000 Bitcoin Pizza Transaction Using BigQuery and AI Notebooks
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Embark on a fascinating journey into the world of cryptocurrency with the course "Visualize the 10,000 Bitcoin Pizza Transaction Using BigQuery and AI Notebooks." This foundational-level course is perfect for IT and computer science enthusiasts eager to delve into data analysis and visualization. Offered by Coursera, this one-day self-paced lab is hosted on the Google Cloud console. Under the expert guidance provided by the course, you will leverage an AI Platform Notebook instance to explore the historic 10,000 Bitcoin pizza transaction. Through BigQuery, you will retrieve a wide array of transactions related to this famous exchange, refine the data to eliminate unnecessary transactions, and create a compelling visual representation of the transaction network. This course is designed for individuals with a starter subscription, making it an accessible and affordable option for those looking to enhance their skills in data processing and visualization using cutting-edge cloud technologies. Whether you're a beginner in the field or looking to brush up on your existing knowledge, this engaging and informative lab will provide you with valuable insights and practical experience in handling and visualizing complex data sets.
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