Amazon Web Services: Data Services

Go to class
Write Review

Free Online Course: Amazon Web Services: Data Services provided by LinkedIn Learning is a comprehensive online course, which lasts for 3-4 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Amazon Web Services: Data Services is taught by Lynn Langit.

Overview
  • Explore the data services on the Amazon cloud. Learn how to configure relational and NoSQL data storage, data warehouses, graph and ledger databases, data lakes, and more.

Syllabus
  • Introduction

    • Scalable data solutions on AWS
    • What you should know
    • Use AWS Cloud services
    1. AWS Data Services Overview
    • Use Amazon Web Services (AWS) data services
    • Why use AWS data storage services?
    • Explore file and HDFS storage
    • Explore AWS data storage
    • Understand why AWS Cloud tools matter
    2. Storage and Files with S3 and More
    • Explore the core file storage choices
    • Explore AWS S3
    • Explore AWS S3 using AWS CLI
    • Explore AWS Glacier storage
    • Explore AWS EBS and EFS
    • Understand file import dervices for AWS and compare file services
    • Scenario: Use cloud file storage
    3. SQL Databases with RDS
    • Explore AWS RDS for managed RDBMS
    • Explore AWS RDS MySQL
    • Explore AWS RDS Aurora Serverless
    • Use RDS query editor
    • Scenario: Move on-premises relational data to AWS
    4. NoSQL Databases with DynamoDB and More
    • Explore NoSQL options in AWS
    • Understand AWS ElastiCache
    • Explore AWS DynamoDB
    • Use AWS CLI with AWS DynamoDB
    • Explore AWS DocumentDB
    • Scenario: Work with caching and real-time data
    5. Data Warehouse and Pipelines with Redshift
    • Explore the AWS data warehouse options and Redshift
    • Work with AWS Redshift
    • Connect to AWS Redshift with AWS query editor
    • Visualize data with AWS QuickSight
    • Scenario: Build a data warehouse in the cloud
    6. Graph Databases and Ledgers with Neptune DB or QLDB
    • Explore AWS specialty databases including graph and ledger
    • Explore graphs with AWS Neptune
    • Explore ledgers with AWS QLDB
    • Explore event databases including Amazon Timestream
    7. Hadoop and Spark with EMR
    • Explore Hadoop and Spark on AWS
    • Understand Hadoop jobs and libraries
    • Explore AWS EMR with Hadoop and Spark
    • Run Spark job on a Jupyter Notebook on AWS EMR
    8. Data Lake with AWS Services
    • Understand a data lake pattern with AWS Lake Formation
    • Explore AWS Athena
    • Explore AWS Glue Data Catalog and Crawlers
    • Use AWS Glue for ETL
    • Explore a data lake pattern with AWS Lake Formation
    • Scenario: Build for the Internet of Things with Hadoop
    Conclusion
    • Keep learning AWS services