YoVDO

Amazon Web Services: Data Services

Offered By: LinkedIn Learning

Tags

Amazon Web Services Courses Cloud Computing Courses Data Warehousing Courses Hadoop Courses Relational Databases Courses NoSQL Databases Courses Graph Databases Courses Data Lakes Courses

Course Description

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

Taught by

Lynn Langit

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