TrueschoTruescho
All Courses
AWS Analytics and Application Integration
Coursera
Course
Unknown

AWS Analytics and Application Integration

Whizlabs

Explore AWS services like Amazon EMR, Glue, and QuickSight to build integrated and scalable data analytics applications.

Unknown2 weeksKK, English

About this Course

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

What You'll Learn

  • Manage workloads on EMR clusters for efficient big data processing
  • Use QuickSight and OpenSearch to create dashboards and search logs
  • Understand decoupling and scaling of applications using EventBridge, SQS, and SNS

Prerequisites

  • Basic familiarity with relevant terminology and concepts
  • Willingness to engage in applied exercises or case studies

Instructors

W

Whizlabs Instructor

Topics

Software Development
Computer Science
Cloud Computing
Information Technology
Data Processing
Full-Stack Web Development
Real Time Data
AWS Kinesis
Amazon Web Services
Event-Driven Programming

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تطوير البرمجيات
علوم الحاسوب
الحوسبة السحابية
تكنولوجيا المعلومات
معالجة البيانات
تطوير الويب الكامل
البيانات اللحظية
AWS Kinesis
Amazon Web Services
Event-Driven Programming

Start Learning Now