Amazon Web Services: Data Services

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.

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