AWS Cloud Quest: Data Analytics

Resumen

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

Materias