Applied Data: Blockchain

Applied Data: Blockchain

Google BDL-ADBLOCK

USD 49.50

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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USD 49.50

Introduction to SQL for BigQuery and Cloud SQL

Module 1

Introduction to SQL for BigQuery and Cloud SQL

Introduction to SQL for BigQuery and Cloud SQL

Google LIS-GOOGLE-2194
USD 9.90
Google
Google Cloud Self-Paced Labs
English
30 days

SQL (Structured Query Language) is a standard language for data operations that allows you to ask questions and get insights from structured datasets. It's commonly used in database management and allows you to perform tasks like transaction record writing into relational databases and petabyte-scale data analysis.

This lab serves as an introduction to SQL and is intended to prepare you for the many labs and quests in Qwiklabs on data science topics. This lab is divided into two parts: in the first half, you will learn fundamental SQL querying keywords, which you will run in the BigQuery console on a public dataset that contains information on London bikeshares.

In the second half, you will learn how to export subsets of the London bikeshare dataset into CSV files, which you will then upload to Cloud SQL. From there you will learn how to use Cloud SQL to create and manage databases and tables. Towards the end, you will get hands-on practice with additional SQL keywords that manipulate and edit data.

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

Module 2

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

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

Google LIS-GOOGLE-2265
USD 9.90
Google
Google Cloud Self-Paced Labs
English
30 days
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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Tracking Cryptocurrency Exchange Trades with Google Cloud Platform in Real-Time

Module 3

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

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

Google LIS-GOOGLE-2269
USD 9.90
Google
Google Cloud Self-Paced Labs
English
30 days
In this lab you will use GCP services to help graph trades, volume, and time delta from trade execution to see any patterns in the high volatility of the cryptocurrency market.
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Getting Started with Blockchain on GCP using Hyperledger Fabric and Composer

Module 4

Getting Started with Blockchain on GCP using Hyperledger Fabric and Composer

Getting Started with Blockchain on GCP using Hyperledger Fabric and Composer

Google LIS-GOOGLE-2236
USD 9.90
Google
Google Cloud Self-Paced Labs
English
30 days
In this lab, you will learn to use Hyperledger Composer to quickly model a business network, containing assets, participants and transactions related to them.
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Exploring the Public Cryptocurrency Datasets Available in BigQuery

Module 5

Exploring the Public Cryptocurrency Datasets Available in BigQuery

Exploring the Public Cryptocurrency Datasets Available in BigQuery

Google LIS-GOOGLE-2315
USD 9.90
Google
Google Cloud Self-Paced Labs
English
30 days
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.
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