Data

Author: Stuart Scott; Difficulty: Intermediate; Duration: 21 minutes and 32 seconds; Content Topics: Storage; This course has: 3 Lectures

Author: Hallam Webber; Difficulty: Intermediate; Duration: 1 hour and 26 minutes; Content Topics: SQL; This course has: 12 Lectures

Author: Hallam Webber; Difficulty: Intermediate; Duration: 1 hour and 1 minute; Content Topics: Microsoft Azure; This course has: 22 Lectures

Author: Hallam Webber; Difficulty: Intermediate; Description: This course is designed to help you prepare for Microsoft's PL-300 Power BI Data Analyst Associate exam.; Duration: Up to 20 hours and 54 minutes; Content Topics: Big Data; This learning path has: 19 Courses, 12 Exams, 1 Hands-on lab

Author: Stuart Scott; Difficulty: Intermediate; Description: This course will help you understand the different AWS database services and features and how to manage them within your environment.; Duration: Up to 25 hours and 3 minutes; Content Topics: Amazon Web Services; This learning path has: 21 Courses, 2 Lab challenges, 3 Exams, 8 Hands-on labs

Author: Andrew Larkin; Difficulty: Intermediate; Description: Practice using SQL to load and manipulate data with this course!; Duration: Up to 5 hours and 13 minutes; Content Topics: SQL; This learning path has: 3 Courses, 1 Lab challenge, 3 Exams, 1 Hands-on lab

Author: Ben Lambert; Difficulty: Advanced; Description: Learn how to write a Python application that interacts with other services - using real-world unit tests, debugging, deployment, and optimization techniques.; Duration: Up to 5 hours and 11 minutes; Content Topics: Development, DevOps; This learning path has: 2 Courses, 2 Lab challenges, 2 Exams

Author: Hallam Webber; Type: updated learning path; Difficulty: Intermediate; Description: This course is designed to help you prepare for Microsoft's DP-100 Designing and Implementing a Data Science Solution on Azure exam.; Duration: Up to 17 hours; Content Topics: Machine Learning; This learning path has: 11 Courses, 1 Lab challenge, 1 Resource, 1 Exam, 4 Hands-on labs

Author: Calculated Systems; Difficulty: Beginner; Description: Learning the basics of how to work with data with data sources, formats, databases, and SQL.; Duration: Up to 12 hours and 2 minutes; Content Topics: SQL; This learning path has: 2 Courses, 1 Exam, 3 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 3 hours and 10 minutes; Content Topics: NoSQL, Machine Learning; This learning path has: 2 Courses, 2 Exams, 1 Hands-on lab

Author: Danny Jessee; Difficulty: Intermediate; Description: Train to prepare for the new AWS Certified Data Engineer - Associate Certification (DEA-C01).; Duration: Up to 54 hours and 45 minutes; Content Topics: Serverless, Big Data, App Streaming, SQL; This learning path has: 11 Courses, 1 Lab challenge, 1 Exam, 20 Hands-on labs

Author: Luke Orellana; Difficulty: Beginner; Description: Explore the main features of Azure SQL and learn how to deploy and manage the service by connecting to the database and assigning user access in this lab.; Duration: Up to 45 minutes; Content Topics: SQL; This hands-on lab has: 5 Lab steps

Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to deploy and use Azure Synapse Analytics to query data stored in a data lake through T-SQL statements using a serverless SQL pool in this hands-on lab.; Duration: Up to 1 hour and 45 minutes; Content Topics: SQL, Big Data; This hands-on lab has: 7 Lab steps

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: Logan Rakai; Difficulty: Intermediate; Description: Learn how to build and trigger data pipelines in Azure Data Factory in this lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Big Data; This hands-on lab has: 9 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Put your Amazon RDS skills to the test in this hands-on challenge lab as you are tasked with creating a database.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will create a DB subnet group, a Neptune Database, and you will perform some SPARQL commands.; Duration: Up to 1 hour and 15 minutes; Content Topics: Databases; This hands-on lab has: 7 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will work with regular expressions, learning how to use quantifiers, anchors, and capture groups to match patterns in text.; Duration: Up to 30 minutes; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to store data in Amazon S3 for use with Data Analytics services including Redshift and Athena. Learn how to structure analytic data to maximize performance and minimize costs.; Duration: Up to 1 hour and 15 minutes; Content Topics: Big Data; This hands-on lab has: 7 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: In this lab you will see how to use Kinesis Data Analytics to sessionize clickstream data, and, you will see how to send the output data from Kinesis Data Analytics to DynamoDB using a Lambda function.; Duration: Up to 1 hour and 30 minutes; Content Topics: App Streaming; This hands-on lab has: 7 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to rewind a MySQL Aurora RDS database using Backtrack. Backtrack can seamlessly restore your database in minutes and lets you move back and forth to examine data changes in detail.; Duration: Up to 1 hour and 30 minutes; Content Topics: Databases; This hands-on lab has: 7 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to migrate a MySQL database to Amazon Aurora Postgres with the AWS Database Migration Service.; Duration: Up to 1 hour and 30 minutes; Content Topics: Databases; This hands-on lab has: 8 Lab steps

Author: Logan Rakai; Difficulty: Advanced; Description: Demonstrate the three capabilities of Azure Defender (AD): data discovery & classification, vulnerability assessment, and advanced threat protection to see how AD provides security as a service for your Azure SQL Databases.; Duration: Up to 1 hour; Content Topics: SQL; This hands-on lab has: 6 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: This Lab will show you the basic concepts of BigQuery and will allow you to handle data and query them in a real GCP environment.; Duration: Up to 45 minutes; Content Topics: NoSQL, Big Data; This hands-on lab has: 6 Lab steps