Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use AWS Lake Formation and AWS Glue to manage permissions and dataset metadata for a data lake in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Analytics, Storage; This hands-on lab has: 4 Lab steps

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: Guy Hummel; Difficulty: Advanced; Duration: 13 minutes and 27 seconds; Content Topics: Analytics; This course has: 3 Units

Author: Hallam Webber; Difficulty: Intermediate; Duration: 52 minutes and 44 seconds; Content Topics: Microsoft Azure; This course has: 12 Units

Author: Hallam Webber; Difficulty: Intermediate; Duration: 18 minutes and 3 seconds; Content Topics: Management, Storage, Databases; This course has: 5 Units

Author: Jeremy Cook; Difficulty: Intermediate; Duration: 2 hours and 10 minutes; Content Topics: Management, DevOps, Operating System; This course has: 12 Units

Author: Ross Leo; Difficulty: Intermediate; Duration: 17 minutes and 13 seconds; Content Topics: Data Engineering; This course has: 5 Units

Author: Hallam Webber; Difficulty: Intermediate; Duration: 57 minutes and 40 seconds; Content Topics: Microsoft Azure; This course has: 7 Units

Author: Hallam Webber; Difficulty: Intermediate; Duration: 39 minutes and 4 seconds; Content Topics: Microsoft Azure; This course has: 9 Units

Author: David Bedford; Difficulty: Beginner; Duration: 41 minutes and 47 seconds; Content Topics: SQL; This course has: 5 Units

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will understand the core principles of a graph database. You will more focus on the property graph. You will understand what is Neo4j and install it on a virtual machine.; Duration: Up to 30 minutes; Content Topics: Graph Databases; This hands-on lab has: 5 Lab steps

Author: Calculated Systems; Difficulty: Beginner; Description: This lab is aimed at students with a basic understanding of Python who want to learn about schemaless data and Amazon DynamoDB.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 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: Hallam Webber; Difficulty: Intermediate; Duration: 22 minutes and 47 seconds; Content Topics: Microsoft Azure; This course has: 8 Units

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 48 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 learn what a graph pattern is and you will perform graph queries using Cypher in a Neo4j database.; Duration: Up to 40 minutes; Content Topics: Graph Databases; This hands-on lab has: 3 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will create nodes inside a graph database. Then you will define relationships between these nodes to create an example of a property graph.; Duration: Up to 30 minutes; Content Topics: Graph Databases; This hands-on lab has: 3 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: Demonstrate your Google Cloud SQL skills by performing tasks required to set up a Cloud SQL infrastructure in this lab challenge.; Duration: Up to 40 minutes; Content Topics: Google Cloud Platform; This lab challenge has: 2 Lab steps

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: 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