AWS: Data Collection Systems Course is the first course of the AWS Certified Data Analytics Speciality Specialization. This Course is designed to describe data collection systems and their characteristics in detail. This course is basically 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 Collection Systems
This course is part of Exam Prep DAS-C01: AWS Certified Data Analytics Specialty Specialization
Taught in English
Instructor: Whizlabs Instructor
Included with
Course
Recommended experience
What you'll learn
Describe data collection stages and compare their systems.
Implement Kinesis Data streams with Kinesis Producer Library and KCL
Describe Kinesis Data Firehouse and compare their functions
Implement the AWS Glue, experiment their functions with others services
Skills you'll gain
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9 quizzes
Course
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There are 3 modules in this course
Welcome to Week 1 of the AWS: Data Collection Systems. This week, we will learn about data collection systems and implement Kinesis Data Streams and Kinesis Data Firehose. We will gain hands-on experience with real-time data streaming and learn how to effectively load stream data into data stores and processing services. By the end of the week, we should have a better understanding of how to use Kinesis services to process real-time data.
What's included
7 videos2 readings4 quizzes1 discussion prompt
Welcome to Week 2 of the AWS: Data Collection Systems.This week, we will explore data integration services and their characteristics. This will involve analyzing the frequency, volume, batch, streaming, and transactional data to determine the appropriate integration services needed. We will also gain hands-on experience with implementing the AWS Glue service, a fully managed ETL service that makes it easy to move data between data stores. By the end of the module, we should have a solid understanding of how to effectively integrate different types of data using AWS Glue and other data integration services.
What's included
5 videos1 reading2 quizzes
Welcome to Week 3 of the AWS: Data Collection Systems. This week, we will learn how to compare different data collection systems and choose the appropriate one for our needs. We will also explore how to implement data order, format, and compression techniques to optimize data ingestion processes. Additionally, we will analyze data transformation while ingesting the data in AWS to ensure the data is in a usable format for downstream applications. By the end of the week, we should have a solid understanding of how to optimize data ingestion processes and ensure the data is in a usable format for downstream applications.
What's included
11 videos2 readings3 quizzes
Instructor
Offered by
Recommended if you're interested in Data Analysis
Whizlabs
Whizlabs
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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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