AWS Cloud Quest: Data Analytics

via AWS Skill Builder

Overview

AWS Cloud Quest: Data Analytics

Cloud Computing Essentials: Amazon S3

Cloud First Steps: Amazon EC2, AWS Infrastructure

Computing Solutions: Amazon EC2

Cloud Economics: Amazon EC2, AWS Pricing Calculator

Networking Concepts: Amazon EC2, Amazon VPC

Databases in Practice: Amazon Relational Database Service (RDS)

Serverless Foundations: AWS Lambda

Core Security Concepts: AWS Identity and Access Management (IAM), Amazon Relational Database Service (RDS), Amazon EC2

Data Ingestion Methods: Amazon Kinesis

First NoSQL Database: Amazon DynamoDB

Design NoSQL Databases: Amazon DynamoDB, AWS Cloud9

Data Lakes: Amazon S3, AWS Lambda

Querying the Data Lake: Amazon S3, AWS Lambda, Amazon Athena

Daily Batch Extraction: Amazon Relational Database Service (RDS), Amazon Athena, AWS Glue, Amazon S3

Federated Queries: Amazon DynamoDB, Amazon Athena, AWS Glue

Cloud Data Warehouse: Amazon S3, AWS Glue, Amazon Redshift

Populating the Data Catalog: AWS Glue, AWS Lambda, Amazon S3, Amazon Athena

Streaming Ingestion: Amazon Kinesis, Amazon Athena, Amazon S3, Amazon SQS

Documents Indexing and Search: Amazon OpenSearch Service, AWS Glue

Distributed Large-Scale Data Processing: Amazon EMR

Event-Driven Serverless ETL: Amazon S3, Amazon Redshift, AWS Glue

Securing the Data Lake: Amazon Athena, AWS Glue, AWS Lake Formation, Amazon S3

University:

Provider: AWS Skill Builder

Categories: Data Warehousing Courses