Data

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: 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: 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

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn about Amazon DynamoDB back-up strategies and restore using an on-demand back-up in this hands-on lab.; Duration: Up to 1 hour; Content Topics: NoSQL; This hands-on lab has: 4 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Use the gcloud CLI in Google Cloud Shell to create signed URLs to grant anyone access to objects stored in Google Cloud Storage for a set duration in this Lab.; Duration: Up to 45 minutes; Content Topics: Object Storage; This hands-on lab has: 4 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: Use gsutil from inside a Google Cloud Shell to work with Google Cloud Storage including using object versioning and Object Lifecycle Management in this lab.; Duration: Up to 1 hour; Content Topics: Object Storage; This hands-on lab has: 5 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: Analyze Internet of Things (IoT) sensor data using Azure Stream Analytics to identify if there have been any IoT device failures in this Lab.; Duration: Up to 30 minutes; Content Topics: Internet of Things; This hands-on lab has: 5 Lab steps

Author: Greg DeRenne; Difficulty: Beginner; Description: Use Amazon Athena to query encrypted data on S3 and encrypt the query results in this hands-on real-environment lab.; Duration: Up to 1 hour and 20 minutes; Content Topics: Object Storage; This hands-on lab has: 7 Lab steps

Author: Kunal Haria; Difficulty: Beginner; Duration: 11 minutes and 10 seconds; Content Topics: Development; This course has: 4 Lectures

Author: Francesco Mosconi; Difficulty: Beginner; Duration: 1 hour and 45 minutes; Content Topics: Big Data, Machine Learning; This course has: 26 Lectures

Author: Francesco Mosconi; Difficulty: Beginner; Duration: 1 hour and 2 minutes; Content Topics: Machine Learning; This course has: 17 Lectures

Author: Francesco Mosconi; Difficulty: Beginner; Duration: 1 hour and 19 minutes; Content Topics: Machine Learning; This course has: 22 Lectures

Author: Francesco Mosconi; Difficulty: Beginner; Duration: 1 hour and 13 minutes; Content Topics: Machine Learning; This course has: 16 Lectures

Author: Francesco Mosconi; Difficulty: Beginner; Duration: 1 hour and 5 minutes; Content Topics: Machine Learning; This course has: 18 Lectures

Author: Guy Hummel; Difficulty: Advanced; Duration: 6 minutes and 59 seconds; Content Topics: Object Storage; This course has: 1 Lecture

Author: Guy Hummel; Difficulty: Intermediate; Duration: 49 minutes and 50 seconds; Content Topics: Big Data; This course has: 9 Lectures

Author: Thomas Mitchell; Difficulty: Intermediate; Duration: 1 hour and 5 minutes; Content Topics: Big Data; This course has: 20 Lectures

Author: Guy Hummel; Difficulty: Intermediate; Duration: 12 minutes and 36 seconds; Content Topics: Object Storage; This course has: 2 Lectures

Author: Jeremy Cook; Difficulty: Beginner; Duration: 1 hour and 33 minutes; Content Topics: Big Data; This course has: 13 Lectures