Big Data Training Library

Author: Hallam Webber; Difficulty: Intermediate; Duration: 44 minutes and 13 seconds; Content Topics: SQL, Identity and Access Management; This course has: 13 Lectures

Author: Andrew Larkin; Difficulty: Intermediate; Description: Start manipulating and modelling data with Amazon SageMaker; Duration: Up to 5 hours and 59 minutes; Content Topics: Amazon Web Services; This learning path has: 2 Courses, 1 Exam, 3 Hands-on labs

Author: Calculated Systems; Difficulty: Intermediate; Description: Learn the basics of machine learning models and how to use models to extract results.; Duration: Up to 9 hours and 12 minutes; Content Topics: Amazon Web Services; This learning path has: 2 Courses, 1 Exam, 5 Hands-on labs

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Amazon Kinesis Data Streams with Amazon API Gateway and AWS Lambda in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: In this lab, you will be uploading data to BigQuery directly and using other big data GCP Services like Dataproc and Dataflow.; Duration: Up to 45 minutes; Content Topics: NoSQL, Big Data; This hands-on lab has: 5 Lab steps

Author: Hallam Webber; Difficulty: Intermediate; Duration: 38 minutes and 35 seconds; Content Topics: Big Data; This course has: 7 Lectures

Author: Andrew Burchill; Difficulty: Beginner; Description: Explore the Amazon Simple Storage Service (Amazon S3) in this hands-on playground lab.; Duration: Up to 4 hours; Content Topics: Storage; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Put your skills to the test in this data analytics lab. Complete a data analytics processing solution before time runs out. You will need to be familiar with Amazon's Data Analytics services and associated tools in order to complete a partially built solution for processing log data from an EC2 instance using Amazon Kinesis, AWS Lambda, and Amazon S3.; Duration: Up to 1 hour and 15 minutes; Content Topics: Serverless, App Streaming; This lab challenge has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use AWS Glue with AWS Lambda and Amazon S3 to create an efficient searchable data lake in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Messaging, Serverless; This hands-on lab has: 5 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create tables, set distribution styles, and configure fine-grained access on an Amazon Redshift cluster in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Ben Lambert; Difficulty: Advanced; Duration: 59 minutes and 7 seconds; Content Topics: Data Engineering, Data Transformation; This course has: 9 Lectures

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: Get a practical understanding of the Scala programming language, its features, and how to use it with this labs-based course!; Duration: Up to 12 hours and 30 minutes; Content Topics: Development; This learning path has: 2 Lab challenges, 9 Hands-on labs

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this hands-on course, you will learn how to create and manage your own graph databases using Neo4j.; Duration: Up to 6 hours and 58 minutes; Content Topics: Graph Databases; This learning path has: 1 Course, 1 Lab challenge, 4 Hands-on labs

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will deploy an Amazon DocumentDB cluster, and you will connect to it to perform some DB operations using the mongo shell.; Duration: Up to 1 hour; Content Topics: Databases; This hands-on lab has: 7 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use an Amazon Elastic MapReduce (EMR) cluster to transform and aggregate data in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use AWS Lake Formation and AWS Glue to manage permissions and dataset metadata for a data lake in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Analytics, Storage; This hands-on lab has: 4 Lab steps

Author: Stefano Cascavilla; Difficulty: Advanced; Description: In this lab, you will understand what are dbt tests. You will then create a custom test, and test your sources and a model both with native dbt tests and with the custom dbt test.; Duration: Up to 1 hour and 15 minutes; Content Topics: Data Modeling; This hands-on lab has: 7 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will understand what are incremental dbt models, and you will create two models by using the incremental materialization type.; Duration: Up to 1 hour; Content Topics: Data Modeling; This hands-on lab has: 5 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will create your first dbt models. You will create a model starting from the dbt sources, and you will create another one starting from the existing model. You will then execute and materialize them in the PostgreSQL database.; Duration: Up to 1 hour; Content Topics: Data Modeling; This hands-on lab has: 5 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will configure a dbt profile to connect to a PostgreSQL database, and you will define sources to be used in a dbt project.; Duration: Up to 40 minutes; Content Topics: Data Modeling; This hands-on lab has: 4 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will understand what Jinja macros are and why they are helpful. You will then leverage the most important native macros source and ref, and you will create a custom macro.; Duration: Up to 1 hour; Content Topics: Data Modeling; This hands-on lab has: 6 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will learn what is dbt, why it is super helpful for data transformations, and you will install it and create your first dbt project.; Duration: Up to 40 minutes; Content Topics: Data Modeling; This hands-on lab has: 4 Lab steps

Author: Guy Hummel; Difficulty: Advanced; Duration: 13 minutes and 27 seconds; Content Topics: Analytics; This course has: 3 Lectures

Author: Guy Hummel; Difficulty: Intermediate; Duration: 14 minutes and 24 seconds; Content Topics: Analytics; This course has: 4 Lectures