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LinkedIn Learning

Amazon Web Services: Data Services

via LinkedIn Learning

Overview

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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

Taught by

Lynn Langit

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