Big Data Training Library

Author: Andrew Larkin; Difficulty: Beginner; Description: Get started using Amazon Kinesis to create solutions and solve business problems.; Duration: Up to 6 hours and 17 minutes; Content Topics: Amazon Web Services; This learning path has: 4 Courses, 1 Exam, 2 Hands-on labs

Author: Guy Hummel; Difficulty: Intermediate; Description: Learn how to load, query, and secure your data in Google BigQuery, Google's lightning-fast data warehouse in the cloud.; Duration: Up to 3 hours and 22 minutes; Content Topics: Google Cloud Platform; This learning path has: 5 Courses, 1 Exam, 1 Hands-on lab

Author: Guy Hummel; Difficulty: Intermediate; Description: Follow hands-on examples to import data, run queries, and output the results using Azure Databricks, Azure Data Lake Storage Gen2, and Azure Stream Analytics.; Duration: Up to 9 hours and 28 minutes; Content Topics: Microsoft Azure; This learning path has: 7 Courses, 1 Exam, 5 Hands-on labs

Author: Calculated Systems; Difficulty: Intermediate; Description: Dive into the various tools and techniques available for manipulating information and data sources.; Duration: Up to 7 hours and 17 minutes; Content Topics: SQL; This learning path has: 2 Courses, 1 Exam, 6 Hands-on labs

Author: Kunal Haria; Difficulty: Intermediate; Description: Fundamentals of R; Duration: Up to 14 hours and 19 minutes; Content Topics: Machine Learning; This learning path has: 11 Courses, 1 Resource, 3 Exams, 1 Hands-on lab

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will create a Google Cloud Spanner database, you will define a schema for a table, and you will perform some SQL queries.; Duration: Up to 45 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 5 Lab steps

Author: Hallam Webber; Difficulty: Intermediate; Duration: 1 hour and 4 minutes; Content Topics: Microsoft Azure; This course has: 10 Units

Author: Jake Gardner; Difficulty: Intermediate; Duration: 13 minutes and 16 seconds; Content Topics: Microsoft Azure; This course has: 4 Units

Author: Stephen Cole; Difficulty: Intermediate; Duration: 16 minutes and 28 seconds; Content Topics: Amazon Web Services; This course has: 6 Units

Author: Guy Hummel; Difficulty: Intermediate; Duration: 13 minutes and 6 seconds; Content Topics: Microsoft Azure; This course has: 5 Units

Author: Stephen Cole; Difficulty: Intermediate; Duration: 10 minutes and 33 seconds; Content Topics: Amazon Web Services; This course has: 1 Unit

Author: Chelsea Dohemann; Difficulty: Intermediate; Duration: 42 minutes and 58 seconds; Content Topics: Microsoft Azure; This course has: 11 Units

Author: Stuart Scott; Difficulty: Intermediate; Duration: 23 minutes and 30 seconds; Content Topics: Amazon Web Services; This course has: 6 Units

Author: Stuart Scott; Difficulty: Intermediate; Duration: 19 minutes and 38 seconds; Content Topics: Storage; This course has: 3 Units

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

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

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 23 hours and 58 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 3 hours and 47 minutes; Content Topics: SQL; This learning path has: 2 Courses, 1 Lab challenge, 1 Exam, 1 Hands-on lab

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 gives you a solid understanding of the pros and cons of spreadsheets vs. databases and when to choose one over the other.; Duration: Up to 3 hours and 22 minutes; Content Topics: Amazon Web Services; This learning path has: 1 Course, 1 Exam, 2 Hands-on labs

Author: Danny Jessee; Difficulty: Intermediate; Description: Train to prepare for the new AWS Certified Data Engineer - Associate Certification (DEA-C01).; Duration: Up to 55 hours and 29 minutes; Content Topics: Amazon Web Services; This learning path has: 11 Courses, 1 Lab challenge, 1 Exam, 20 Hands-on labs

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: Microsoft Azure; This hands-on lab has: 7 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: Microsoft Azure; 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