AWS: Analytics and Application Integration

Übersicht

AWS:

Analytics and Application Integration course is the fourth course of Exam Prep (SAP-C02):

AWS Certified Solutions Architect - Professional Specialization. This course explores Amazon EMR for launching clusters and processing data, AWS Glue for ETL operations, including crawler and job creation.

The course also covers data visualization with Amazon QuickSight and search capabilities using Amazon OpenSearch Service. Furthermore, it delves into building scalable applications with AWS Amplify and implementing event-driven architectures using Amazon EventBridge, Amazon SQS, and Amazon SNS for messaging.

This course facilitates learners with approximately 3:

00-3:

30 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test learners' ability. - Module 1:

Analytics in AWS - Module 2:

Application Integration in AWS This course is designed for professionals seeking to demonstrate a comprehensive understanding of AWS data processing, analytics, application integration, and messaging services.

It covers crucial concepts like real-time data streams, ETL pipelines, big data processing with EMR, data warehousing, search, application development backends, event-driven architectures, and queuing/notification systems. - Senior Solutions Architects - Enterprise Architects - Cloud Infrastructure Architects - Senior DevOps Engineers By the end of the course, learners will be able to:

- Launch, manage, and run workloads on EMR clusters to process large datasets efficiently. - Use Amazon QuickSight and OpenSearch Service for creating dashboards and searching log data. - Initialize Amplify projects, set up backends, and implement authentication and hosting.

Lehrplan

• Analytics in AWS
Welcome to Week 1 of the AWS: Analytics and Application Integration course. This week, we'll dive into AWS analytics services, starting with Amazon Kinesis for real-time data streaming and Amazon Kinesis Data Firehose for reliable data delivery. We'll explore Amazon Managed Service for Apache Flink to process streaming data and Amazon EMR for big data workloads, including launching clusters and running jobs. You'll gain hands-on experience with AWS Glue for ETL operations, from creating crawlers to validating job outputs. Finally, we'll cover Amazon QuickSight for business intelligence and Amazon OpenSearch Service for search and analytics. By week's end, you'll have a solid understanding of AWS's powerful data processing ecosystem.
• Application Integration in AWS
Welcome to Week 2. This week, we'll explore key AWS services for building modern applications. We'll dive into Amazon API Gateway for managing APIs, and AWS Amplify for rapidly developing full-stack web and mobile apps, including backend setup, authentication, and hosting. You'll also learn about Amazon EventBridge for event-driven architectures and Amazon SQS for message queuing, with hands-on demos to reinforce concepts. Additionally, we'll cover Amazon SNS for scalable messaging and notifications. By the end of the week, you'll gain essential skills to create secure, scalable, and event-driven applications using AWS.

Unterrichtet von

Whizlabs Instructor

Fachgebiete

Programming