Coursera

AWS: Data Collection Systems (Coursera)

Offered by Whizlabs,
AWS: Data Collection Systems (Coursera)

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.

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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.

Module 1: Data Collection Systems and Data Streams in AWS
Module 2: Data Integration Services in AWS
Module 3: Data Compression and Transformation in AWS
e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.
Course 1 of 5 in the Exam Prep DAS-C01: AWS Certified Data Analytics Specialty Specialization.

What You Will 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

Syllabus

WEEK 1
Data Collection Systems and Data Streams in AWS
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.

WEEK 2
Data Integration Services in AWS
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.

WEEK 3
Data Compression and Transformation in AWS
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.

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