AWS Professional Solutions Architect 2020: Data Processing & Analysis


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

This course explores numerous AWS (Amazon Web Services) data processing analysis solutions and the tools available for ingesting and analyzing large data sets. You will learn to use AWS services to design and deploy applications to meet your customer's requirements, to migrate complex applications, to design and deploy enterprise-wide scalable operations, and to implement cost control strategies. This course covers Elastic Transcoder and how to create an elastic transcoder job pipeline. Learners examine how Amazon Kinesis ingests and analyzes streaming data, and how to configure a Kinesis stream. In this course, you will explore Amazon Elastic MapReduce, learn how to deploy a MapReduce cluster, and how to configure an Amazon Elasticsearch domain. This course also explores Amazon's Rekognition software. Learners explore Amazon Athena's fast querying service and how to connect to CloudWatch for querying through Athena. Finally, you will learn how to enable QuickSight and create a QuickSight analysis. This course can be used in preparation for the AWS Certified Solutions Architect-Professional SAP-C01 certification exam.



Expected Duration (hours)
0.6

Lesson Objectives

AWS Professional Solutions Architect 2020: Data Processing & Analysis

  • discover the key concepts covered in this course
  • describe how Elastic Transcoder is used to ingest and convert a wide variety of media formats
  • configure an Elastic Transcoder job pipeline
  • recognize how Amazon Kinesis ingests and analyzes streaming data
  • configure a Kinesis stream
  • deploy an Elastic MapReduce cluster
  • explore Amazon Rekognition demos
  • configure an Elasticsearch domain
  • identify when Athena's fast querying service should be used
  • enable QuickSight for business analysis purposes
  • create a QuickSight analysis
  • summarize the key concepts covered in this course
  • Course Number:
    it_clawsap19_09_enus

    Expertise Level
    Intermediate