Applied Data: Blockchain

4 hours Intermediate universal_currency_alt 16 Credits

Blockchain and related technologies, such as distributed ledger and distributed apps, are becoming new value drivers and solution priorities in many industries. In this Quest you will gain hands-on experience with distributed ledger and the exploration of blockchain datasets in Google Cloud. This Quest brings the research and solution work of Google's Allen Day into self-paced labs for you to run and learn directly. Since this Quest utilizes advanced SQL in BigQuery, a SQL-in-BigQuery refresher lab is at the start. The final lab is an advanced challenge-style lab in which there are elements where you are not provided the answer but must solve it for yourself.

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Lab

Introduction to SQL for BigQuery and Cloud SQL

In this lab you will learn fundamental SQL clauses and will get hands on practice running structured queries on BigQuery and Cloud SQL.

Lab

Visualize the 10,000 Bitcoin Pizza Transaction Using BigQuery and Vertex AI Workbench

In this lab you will use an Vertex AI 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.

Lab

Tracking Cryptocurrency Exchange Trades with Google Cloud Platform in Real-Time

In this lab you will use Google Cloud services to help graph trades, volume, and time delta from trade execution to see any patterns in the high volatility of the cryptocurrency market.

Lab

Exploring the Public Cryptocurrency Datasets Available in BigQuery

In this hands-on lab you’ll learn how to use BigQuery to explore the cryptocurrency public datasets now available. This is a challange lab, and you are required to complete some simple SQL statements.

info

Quest Info

Prerequisites

Previous work with SQL in BigQuery will be helpful but not necessary before trying these labs. Prior theoretical understanding of blockchain technologies will also be beneficial, but not required.

Available languages

English

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