AWS: Data Processing Course is the second course of AWS Certified Data Analytics Specialty Specialization. This course focuses on providing data processing solutions. The entire course is designed to teach learners the concept of EMR and Extract, Transform and Load. This course also put emphasis on ETL services and Data Processing solutions in AWS. The course is divided into three modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 3:30-4:00 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners.
AWS Data Processing
AWS Data Processing
This course is part of Exam Prep DAS-C01: AWS Certified Data Analytics Specialty Specialization
Taught in English
Instructor: Whizlabs Instructor
Included with 
Course
Gain insight into a topic and learn the fundamentals
Beginner level
Recommended experience
6 hours (approximately)
Flexible schedule
Learn at your own pace
What you'll learn
Analyze Modeling Concepts and train Machine Learning Models
Examine performance of machine learning models
Implement automatic model tuning by training a model
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
7 quizzes
Course
Gain insight into a topic and learn the fundamentals
Beginner level
Recommended experience
6 hours (approximately)
Flexible schedule
Learn at your own pace
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Exam Prep DAS-C01: AWS Certified Data Analytics Specialty Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 3 modules in this course
Welcome to Week 1 of the AWS: Data Processing .This week, we will focus on determining the appropriate data processing solution requirements and gain an understanding of Extract, Transform, Load (ETL) jobs. We will also gain hands-on experience with implementing ETL jobs to move data between different sources and destinations. By the end of the week, we should have a good understanding of how to effectively process data using ETL jobs and the requirements needed to do so.
What's included
4 videos3 readings2 quizzes1 discussion prompt
Welcome to Week 2 of the AWS: Data Processing . This week, we will be introduced to Amazon EMR and its various applications such as Spark, Hudi, Hbase, TensorFlow, Flink, Presto, and Hue. We will also learn how to design a solution for transforming and preparing data for analysis using EMR. Through practical demonstrations, we will gain a solid understanding of how to effectively use EMR to process, transform, and analyze large datasets. By the end of the week, we should have a good understanding of how to leverage EMR for data processing and analytics needs.
What's included
8 videos1 reading2 quizzes
Welcome to Week 3 of the AWS: Data Processing. This week, we will focus on automating and operationalizing a data processing solution using AWS Glue and EMR. We will also compare batch and streaming ETL services to determine the most appropriate solution for our needs.By the end of the week, we should have a good understanding of how to use AWS services to automate and operationalize data processing workflows.
What's included
8 videos3 readings3 quizzes
Instructor
Offered by
Recommended if you're interested in Data Analysis
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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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. If you only want to read and view the course content, you can audit the course for free.
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