Data

Author: Eric Magalhães; Difficulty: Beginner; Description: Create and mount file systems to EC2 instances; read/write files to a file system as you work through this introductory lab on AWS Elastic File System.; Duration: Up to 1 hour; Content Topics: Storage; This hands-on lab has: 6 Lab steps

Author: Antonio Angelino; Difficulty: Beginner; Description: EC2 instances can use multiple storage volumes, learn how to add and manage them using EBS.; Duration: Up to 1 hour; Content Topics: Storage; This hands-on lab has: 8 Lab steps

Author: Stuart Scott; Difficulty: Beginner; Description: You will learn the steps to create and apply AWS S3 Bucket Policies with embedded conditions to restrict a user's ability to perform specific functions within S3 Buckets.; Duration: Up to 1 hour; Content Topics: Security, Storage; This hands-on lab has: 5 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: In this lab, you will navigate the Microsoft Azure Portal and receive an introduction to core storage products provided by Azure.; Duration: Up to 1 hour; Content Topics: Object Storage; This hands-on lab has: 6 Lab steps

Author: Greg DeRenne; Difficulty: Beginner; Description: Learn to create your first Amazon S3 bucket, create a logical folder for organizational purposes, and upload content to it and set custom metadata using the S3 console; Duration: Up to 50 minutes; Content Topics: Storage; This hands-on lab has: 8 Lab steps

Author: Stuart Scott; Difficulty: Intermediate; Content Topics: Storage; This course has: 12 Lectures

Author: Stuart Scott; Difficulty: Beginner; Duration: 27 minutes and 30 seconds; Content Topics: Storage; This course has: 4 Lectures

Author: Stuart Scott; Difficulty: Intermediate; Duration: 39 minutes and 10 seconds; Content Topics: Storage; This course has: 7 Lectures

Author: Guy Hummel; Difficulty: Intermediate; Duration: 48 minutes and 11 seconds; Content Topics: NoSQL, Big Data; This course has: 7 Lectures

Author: Stuart Scott; Difficulty: Intermediate; Duration: 54 minutes and 40 seconds; Content Topics: Migration, Storage; This course has: 7 Lectures

Author: Stuart Scott; Difficulty: Beginner; Content Topics: NoSQL, SQL; This course has: 9 Lectures

Author: Stuart Scott; Difficulty: Beginner; Content Topics: Big Data; This course has: 10 Lectures

Author: Andrew Larkin; Difficulty: Beginner; Duration: 1 hour and 6 minutes; Content Topics: SQL; This course has: 6 Lectures

Author: Guy Hummel; Difficulty: Intermediate; Description: Designed to help you prepare for the Google Certified Professional Data Engineer Exam, this training will help you gain a solid understanding of GCP components.; Duration: Up to 27 hours and 29 minutes; Content Topics: NoSQL, Big Data, SQL, Machine Learning; This learning path has: 24 Courses, 1 Resource, 5 Exams, 8 Hands-on labs

Author: Guy Hummel; Difficulty: Intermediate; Description: This course is designed to help you prepare for the Google Certified Professional Cloud Architect Exam. Start learning now!; Duration: Up to 28 hours and 31 minutes; Content Topics: Google Cloud Platform; This learning path has: 1 Resource, 27 Courses, 2 Lab challenges, 2 Exams, 11 Hands-on labs

Author: Guy Hummel; Difficulty: Intermediate; Description: This course is designed to help you prepare for Microsoft's DP-203 Data Engineering on Microsoft Azure exam.; Duration: Up to 17 hours and 32 minutes; Content Topics: Big Data, Machine Learning, SQL; This learning path has: 16 Courses, 1 Lab challenge, 1 Resource, 8 Hands-on labs

Author: Guy Hummel; Difficulty: Intermediate; Description: This course is designed to help you prepare for the DP-900 Microsoft Azure Data Fundamentals exam.; Duration: Up to 10 hours and 18 minutes; Content Topics: NoSQL, SQL, Big Data; This learning path has: 8 Courses, 1 Resource, 2 Exams, 2 Hands-on labs

Author: Calculated Systems; Difficulty: Beginner; Description: This course is a gentle introduction and for those who want to gain entry-level experience in machine learning and artificial intelligence.; Duration: Up to 4 hours and 45 minutes; Content Topics: NoSQL, Machine Learning; This learning path has: 2 Courses, 2 Exams, 1 Hands-on lab

Difficulty: Beginner; Description: In this course, we explore the different types of data that businesses make use of and look at all the ways it can be collected, stored and analyzed.; Duration: Up to 55 minutes; This learning path has: 5 Courses, 2 Exams

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will create an S3 bucket and will implement the lifecycle policies to handle actions done on the objects. You will also log the operations done.; Duration: Up to 1 hour; Content Topics: Storage; This hands-on lab has: 5 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the Amazon Redshift service. Create a cluster with a database, copy data from S3, query data using SQL, and resize the cluster.; Duration: Up to 1 hour and 45 minutes; Content Topics: Big Data; This hands-on lab has: 8 Lab steps

Author: Matt Martinez; Difficulty: Beginner; Description: Learn to create and configure hardened Azure storage accounts by creating and managing one yourself, using many available tools to configure it for your needs.; Duration: Up to 1 hour; Content Topics: Storage; This hands-on lab has: 6 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: This Lab introduces you to all of the key concepts and trade-offs that you need to understand to work effectively with Google Cloud Storage.; Duration: Up to 1 hour and 15 minutes; Content Topics: Object Storage; This hands-on lab has: 6 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Working with Azure Storage using PowerShell, you will explore the different storage types, manage storage account keys, and generate shared access signatures.; Duration: Up to 2 hours and 10 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 8 Lab steps