Data

Author: Andrew Burchill; Difficulty: Beginner; Description: Put your skills to the test in this data analytics lab. Complete a data analytics processing solution before time runs out. You will need to be familiar with Amazon's Data Analytics services and associated tools in order to complete a partially built solution for processing log data from an EC2 instance using Amazon Kinesis, AWS Lambda, and Amazon S3.; Duration: Up to 1 hour and 15 minutes; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will enable high availability for a Cloud SQL instance and you will failover it to check that the high availability is guaranteed.; Duration: Up to 1 hour; Content Topics: Google Cloud Platform; This hands-on lab has: 5 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use AWS Glue with AWS Lambda and Amazon S3 to create an efficient searchable data lake in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; 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: Andrew Burchill; Difficulty: Intermediate; Description: Put your Amazon Simple Storage Service (S3) skills to the test and secure a bucket in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Storage; This lab challenge has: 1 Lab step

Author: Daniel Wood; Difficulty: Intermediate; Description: Perform a backup and restore cluster management operation of a Kubernetes cluster in this lab.; Duration: Up to 40 minutes; Content Topics: Containers; This hands-on lab has: 3 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

Difficulty: Intermediate; Description: Learn how financial analysis can be instrumental in identifying early signs of business issues, finding solutions to challenges, and making informed decisions.; Duration: Up to 45 minutes; This learning path has: 4 Courses, 2 Exams

Difficulty: Beginner; Description: Learn about key financial statements and how they can be used to gain a valuable understanding of the financial health of your business.; Duration: Up to 48 minutes; This learning path has: 6 Courses, 2 Exams

Difficulty: Intermediate; Description: Learn the steps you need to take to create and optimize a CRM Strategy, as well as governance and ethics for working with customer data.; Duration: Up to 50 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Intermediate; Description: Explore the use of consumer data for targeted segments, with a focus on AI's role in crafting intelligent and nuanced profiles.; Duration: Up to 46 minutes; This learning path has: 4 Courses, 2 Exams

Author: Danny Jessee; Difficulty: Beginner; Description: This course will help you understand the different AWS storage services including S3, EBS, EFS, and FSx, and how to use them within your environment.; Duration: Up to 20 hours and 52 minutes; Content Topics: Storage; This learning path has: 18 Courses, 2 Lab challenges, 2 Exams, 9 Hands-on labs

Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to redirect static website requests from one Amazon S3 bucket to another and configure conditional routing rules in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Storage; This hands-on lab has: 4 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will start using Cloud Firestore in Datastore mode as your NoSQL database. You will work with entities, keys, and properties.; Duration: Up to 35 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 5 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will work with generics for classes and functions to leverage the most common polymorphism used in functional programming.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 4 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will deploy an Amazon DocumentDB cluster, and you will connect to it to perform some DB operations using the mongo shell.; Duration: Up to 1 hour; Content Topics: Databases; This hands-on lab has: 7 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will create a Filestore instance, attach it to a GCE virtual machine, test it, and lastly, create a backup of the Filestore instance.; Duration: Up to 45 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 5 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will create a zonal persistent disk, attach it to a Compute Engine VM, and you will backup it creating a disk snapshot.; Duration: Up to 45 minutes; Content Topics: Storage; This hands-on lab has: 5 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use an Amazon Elastic MapReduce (EMR) cluster to transform and aggregate data in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

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: Ben Lambert; Difficulty: Advanced; Description: SQLAlchemy is a module designed to provide better developer ergonomics for database access and interactions. Learn how to interact with relational databases in Python with SQLAlchemy.; Duration: Up to 2 hours; Content Topics: Development; 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