Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create tables, set distribution styles, and configure fine-grained access on an Amazon Redshift cluster in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: Get a practical understanding of the Scala programming language, its features, and how to use it with this labs-based course!; Duration: Up to 12 hours and 30 minutes; Content Topics: Development; This learning path has: 2 Lab challenges, 9 Hands-on labs

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this hands-on course, you will learn how to create and manage your own graph databases using Neo4j.; Duration: Up to 6 hours and 58 minutes; Content Topics: Graph Databases; This learning path has: 1 Course, 1 Lab challenge, 4 Hands-on labs

Author: Stefano Cascavilla; Difficulty: Advanced; Description: In this lab, you will understand what are dbt tests. You will then create a custom test, and test your sources and a model both with native dbt tests and with the custom dbt test.; 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: Beginner; Description: In this lab, you will understand what are incremental dbt models, and you will create two models by using the incremental materialization type.; 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: In this lab, you will create your first dbt models. You will create a model starting from the dbt sources, and you will create another one starting from the existing model. You will then execute and materialize them in the PostgreSQL database.; 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: In this lab, you will configure a dbt profile to connect to a PostgreSQL database, and you will define sources to be used in a dbt project.; Duration: Up to 40 minutes; Content Topics: Data build tool (dbt); This hands-on lab has: 4 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will understand what Jinja macros are and why they are helpful. You will then leverage the most important native macros source and ref, and you will create a custom macro.; Duration: Up to 1 hour; This hands-on lab has: 6 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will learn what is dbt, why it is super helpful for data transformations, and you will install it and create your first dbt project.; Duration: Up to 40 minutes; Content Topics: Data build tool (dbt); This hands-on lab has: 4 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will understand what are full-refresh dbt models, and you will create two models by using the table materialization type.; Duration: Up to 1 hour; Content Topics: Data build tool (dbt); This hands-on lab has: 5 Lab steps

Author: Andrew Burchill; Difficulty: Intermediate; Description: Learn about Amazon Managed Workflows for Apache Airflow in this hands-on lab as you create a Directed Acyclic Graph in Apache Airflow.; Duration: Up to 2 hours; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Daniel Mease; Difficulty: Intermediate; Description: This course is designed to help you prepare for the Google Cloud Certified - Professional Cloud Database Engineer Exam.; Duration: Up to 21 hours and 19 minutes; Content Topics: Google Cloud Platform; This learning path has: 1 Resource, 14 Courses, 2 Lab challenges, 1 Exam, 11 Hands-on labs

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: Andrea Giussani; Difficulty: Beginner; Description: The goal of this lab is to consolidate your data management and manipulation skills using Python.; Duration: Up to 1 hour; Content Topics: Development, Analytics; This hands-on lab has: 2 Lab steps

Author: Oracle University; Difficulty: Beginner; Description: Master the fundamentals of application development using Oracle APEX with this comprehensive course provided in partnership with Oracle University.; Duration: Up to 3 hours and 48 minutes; Content Topics: SQL; This learning path has: 9 Courses

Author: Oracle University; Difficulty: Intermediate; Description: Learn the fundamentals of Autonomous databases and take your DBA skills knowledge to the next level and learn to deploy and administer Autonomous databases.; Duration: Up to 7 hours and 54 minutes; This learning path has: 9 Courses

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: 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: 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: 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

Author: Daniel Mease; Difficulty: Intermediate; Description: This course is designed to help you prepare for the Google Cloud Certified Associate Data Practitioner Exam.; Duration: Up to 31 hours and 12 minutes; Content Topics: NoSQL, Encryption, Serverless, Object Storage, Containers, Machine Learning, Identity and Access Management, Messaging, Big Data, SQL; This learning path has: 27 Courses, 2 Resources, 5 Exams, 11 Hands-on labs