Big Data Training Library

Author: Jake Gardner; Difficulty: Intermediate; Duration: 13 minutes and 16 seconds; Content Topics: Big Data; This course has: 4 Lectures

Author: Stephen Cole; Difficulty: Intermediate; Duration: 16 minutes and 28 seconds; Content Topics: Big Data; This course has: 6 Lectures

Author: Guy Hummel; Difficulty: Intermediate; Duration: 13 minutes and 6 seconds; Content Topics: Big Data, Machine Learning; This course has: 5 Lectures

Author: Stephen Cole; Difficulty: Intermediate; Duration: 10 minutes and 33 seconds; Content Topics: Big Data; This course has: 1 Lecture

Author: Chelsea Dohemann; Difficulty: Intermediate; Duration: 42 minutes and 58 seconds; Content Topics: Data Engineering, Big Data; This course has: 11 Lectures

Author: Stuart Scott; Difficulty: Intermediate; Duration: 23 minutes and 30 seconds; Content Topics: NoSQL, Identity and Access Management, SQL; This course has: 6 Lectures

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: Stuart Scott; Type: updated learning path; 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: 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: 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

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 21 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: 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: 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: 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