Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will understand what are ephemeral dbt models, and you will create an ephemeral dbt model that will be then leveraged by a full-refresh model. You will then review what dbt has materialized and what has not.; Duration: Up to 1 hour; Content Topics: Data build tool (dbt); This hands-on lab has: 5 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to setup and configure an Amazon Q Business application to boost your business productivity.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

Author: Stefano Cascavilla; Difficulty: Advanced; Description: Demonstrate your dbt skills by performing tasks required to create and work with a dbt project.; Duration: Up to 2 hours; Content Topics: Data build tool (dbt); This lab challenge has: 4 Lab steps

Author: Stefano Cascavilla; Difficulty: Advanced; Description: In this lab, you will define some dbt models and you will organize them following best practices in order to keep and maintain a clear dbt project.; Duration: Up to 1 hour and 15 minutes; Content Topics: Data build tool (dbt); This hands-on lab has: 7 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will understand what dbt seeds are, you will create and use them, and will build a model based on a seed.; Duration: Up to 1 hour; Content Topics: Data build tool (dbt); This hands-on lab has: 5 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: Practice your Yahoo Finance API and data visualizing skills in a free-rein, empty Jupyter Notebook environment by creating and managing all the components and parts the yfinance and plotly libraries offer.; Duration: Up to 4 hours; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will leverage the Yahoo Finance API using the yfinance Python library, and you will visualize the market data using the plotly Python library.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: Practice your Neo4j skills in a free-rein, empty Neo4j environment by creating and managing graph data in any way you see fit.; Duration: Up to 4 hours; Content Topics: Graph Databases; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the AWS DataSync service to archive data from an NFS storage server to Amazon S3 in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Storage, Compute; This hands-on lab has: 5 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: Demonstrate your Neo4j skills by performing tasks required to set up a Neo4j environment in this lab challenge.; Duration: Up to 1 hour; Content Topics: Graph Databases; This lab challenge has: 2 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: Demonstrate your Cloud Spanner skills by performing tasks required to create, and configure a Spanner SQL instance and a database.; Duration: Up to 45 minutes; Content Topics: Google Cloud Platform; This lab challenge has: 2 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: Practice your dbt skills in a free-rein, empty dbt environment by creating and managing all the components and parts dbt offers.; Duration: Up to 4 hours; Content Topics: Data build tool (dbt); This hands-on lab has: 2 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: Practice your Google Cloud Spanner skills in a free-rein, empty GCP environment by creating Cloud Spanner instances and databases in any way you see fit!; Duration: Up to 2 hours; Content Topics: Google Cloud Platform; This hands-on lab has: 2 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: Demonstrate your Yahoo Finance API and plotly knowledge by integrating them, fetching market data, and then displaying and plotting them.; Duration: Up to 1 hour; Content Topics: Development; This lab challenge has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use an Amazon Athena Notebook to perform data quality checks in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will see how to prepare web log data for use with Amazon Forecast's EC2 planning capability.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: Practice your CoinGecko Finance API and data visualizing skills in a free-rein, empty Jupyter Notebook environment by creating and managing all the components and parts the pycoingecko and plotly libraries offer.; Duration: Up to 4 hours; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will use the CoinGecko Python API to retrieve and visualize cryptocurrencies data.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps