AWS: Compute and Data Transfer

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AWS: Compute and Data Transfer

This course is part of Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization

Instructor: Whizlabs Instructor

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2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Explore serverless features and best practices of AWS Lambda.
Enhance developer's experience in building and running serverless applications on AWS.
Describe methods to process and analyze streaming data at any scale in AWS.

Skills you'll gain

Tools you'll learn

Amazon Web Services

Details to know

Shareable certificate

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Assessments

4 assignments

Taught in English

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This course is part of the Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 2 modules in this course

AWS: Compute and Data Transfer is the third course of Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization. This course focuses on designing serverless solutions using AWS Lambda and AWS Serverless Application Model. It also focuses on running batch computing workloads using AWS Batch. This course describes AWS data transfer services to transfer files into and out of AWS storage services. The course is divided into two modules and Lessons and Video Lectures further segment each module. This course facilitates learners with approximately 2:30-3:00 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test the ability of learners.

Module 1: Compute in AWS Module 2: Data Transfer in AWS By the end of this course, a learner will be able to: - Explore serverless features and best practices of AWS Lambda. - Enhance developer's experience in building and running serverless applications on AWS. - Describe methods to process and analyze streaming data at any scale in AWS. This course is intended for candidates who wish to enhance their skills in architecting complex solutions adopting a consumption-based (pay-per-use) model and have basic hands-on experience in scaling and migrating infrastructure.

Welcome to Week 1 of the AWS: Compute and Data Transfer course. In this week, you will be introduced to a serverless computing service, AWS Lambda which runs the code in response to events and automatically manages the compute resources. You will learn container orchestration service in AWS which efficiently manages, deploys, and scales containerized applications. You will also learn Amazon Elastic Kubernetes Service (Amazon EKS) which runs Kubernetes in the AWS cloud and on-premises data centers. By the end of the week, you will be able to manage and configure compute resources in AWS.

What's included

5 videos2 readings2 assignments1 discussion prompt1 ungraded lab

5 videos Total 34 minutes

AWS Lambda 11 minutes
Amazon ECS 7 minutes
Amazon ECS: Tasks and Task Definitions 1 minute
Amazon EKS 10 minutes
AWS Batch 5 minutes

2 readings Total 20 minutes

Welcome to the Course 15 minutes
Overview of Compute in AWS 5 minutes

2 assignments Total 55 minutes

Serverless and Container Services - Knowledge Check 25 minutes
Compute in AWS - Assessment 30 minutes

1 discussion prompt Total 10 minutes

Meet and Greet 10 minutes

1 ungraded lab Total 45 minutes

Triggering the Lambda function from SQS and storing the message in the S3 bucket 45 minutes

Welcome to Week 2 of the AWS: Compute and Data Transfer course. This week, you will be introduced to Compute, Migration and Data Transfer services. You will be introduced to migration and modernization solutions to meet your transformation goals. You will learn data transfer and server migration services such as AWS Snow Family, AWS Transfer Family, and AWS Server Migration Service. By the end of the week, you will be able to differentiate between Compute, Data migration and Data transfer services.

What's included

9 videos3 readings2 assignments

9 videos Total 46 minutes

Introduction to Data Migration 7 minutes
AWS Migration Hub 4 minutes
AWS Application Discovery Service 4 minutes
AWS Snow Family 5 minutes
AWS Transfer family 5 minutes
AWS SAM 8 minutes
AWS Server Migration Service 4 minutes
AWS Backup 6 minutes
Specialization Conclusion 4 minutes

3 readings Total 25 minutes

Overview of Data Transfer in AWS 5 minutes
Course Conclusion 10 minutes
What next? 10 minutes

2 assignments Total 40 minutes

Data Migration and Data Backup - Knowledge Check 20 minutes
Data Transfer in AWS - Assessment 20 minutes

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Instructor

Whizlabs Instructor

Whizlabs

146 Courses 113,790 learners

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Whizlabs

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.