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Big Data Collection and Storage in AWS

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Big Data Collection and Storage in AWS

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Master AWS services like Kinesis, IoT, DynamoDB, and S3 for big data solutions.

  • Learn to design scalable and secure storage systems for large datasets in the cloud.

  • Gain practical skills in configuring real-time data processing and collection workflows.

  • Understand the complexities of data encryption, permissions, and lifecycle management in AWS.

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Recently updated!

May 2026

Assessments

4 assignments

Taught in English

Build your subject-matter expertise

This course is part of the AWS Certified Big Data - Specialty Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
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There are 2 modules in this course

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A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will gain in-depth knowledge of AWS services used for big data collection and storage. You will explore tools like Kinesis, IoT, DynamoDB, and S3, all essential in creating scalable big data solutions. By the end of the course, you will be well-versed in setting up systems for real-time data ingestion, storage optimization, and secure access management in the cloud. As the course progresses, you will delve into specialized topics such as collecting data with Kinesis Firehose, leveraging S3 for secure storage, and implementing DynamoDB for highly available databases. Practical lessons on IoT and stream processing will help you build a full-stack solution for big data workflows. You’ll also learn how to handle data encryption, permissions, and lifecycle management for efficient storage solutions. Throughout the journey, you will tackle hands-on challenges, enabling you to apply AWS’s services to real-world problems. From basic storage concepts to advanced real-time processing, you’ll be guided through each service with step-by-step explanations and actionable use cases. This course is perfect for those looking to build expertise in cloud-based big data solutions. It’s ideal for data engineers, cloud architects, and IT professionals who want to enhance their ability to design and manage robust data systems. A basic understanding of cloud services and programming is helpful but not required. By the end of the course, you will be able to configure and use AWS services like Kinesis, IoT, DynamoDB, and S3, to collect, store, and manage big data securely and efficiently in real-time environments.

In this module, we will explore the fundamental AWS services used to collect data, including Kinesis, IoT, and SQS. We will dive into real-time data collection with Kinesis streams and Firehose, discuss sensor data collection using IoT, and learn how to queue messages with SQS. Additionally, we will examine the role of the Kinesis agent in ingesting logs and storing data into S3.

What's included

8 videos2 readings1 assignment

8 videos•Total 225 minutes
  • Overview•9 minutes
  • Kinesis Stream Essentials•32 minutes
  • Firehose Collection•28 minutes
  • Collect Data with Kinesis Agent•38 minutes
  • IoT Essentials•32 minutes
  • Rules and the Rule Engine•34 minutes
  • Collect Sensor Data•25 minutes
  • SQS Essentials•27 minutes
2 readings•Total 20 minutes
  • Introduction to the Course 'Big Data Collection and Storage in AWS'•10 minutes
  • Full Specialization Resources•10 minutes
1 assignment•Total 15 minutes
  • Collection - Assessment•15 minutes

In this module, we will focus on AWS storage solutions, primarily S3 and DynamoDB, for big data workflows. We will cover the essentials of S3, including data organization, encryption, and permissions. Additionally, we will dive into DynamoDB, exploring its tables, read/write capacity, and indexing strategies. The module also addresses optimizing storage costs and configuring reactive systems with DynamoDB streams.

What's included

8 videos1 reading3 assignments

8 videos•Total 219 minutes
  • S3 Essentials•27 minutes
  • Permissions and Encryption•24 minutes
  • Storage Classes, Lifecycles, and Performance•28 minutes
  • DynamoDB Essentials•25 minutes
  • Read and Write Operations•34 minutes
  • DynamoDB Indexes•29 minutes
  • Global Tables and Conditional Writes•28 minutes
  • Streams•23 minutes
1 reading•Total 10 minutes
  • Conclusion to the Course 'Big Data Collection and Storage in AWS'•10 minutes
3 assignments•Total 90 minutes
  • Storage - Assessment•15 minutes
  • Full Course Assessment•60 minutes
  • Full Course Practice Assessment•15 minutes

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Frequently asked questions

Big Data Collection and Storage in AWS refers to the process of gathering, storing, and managing large volumes of data using Amazon Web Services (AWS) tools. This includes services like Amazon S3, DynamoDB, Kinesis, and IoT to efficiently collect, store, and process data. It is relevant because as data continues to grow exponentially, understanding how to collect and manage big data in the cloud is critical for businesses to make data-driven decisions, improve performance, and achieve scalability.

This course focuses on AWS services used for big data collection and storage. It dives deep into tools such as S3, DynamoDB, and Kinesis, as well as IoT and Lambda for data collection and processing. The course will also cover key concepts like encryption, permissions, and data lifecycle policies, which are vital for handling large-scale data. It provides hands-on demonstrations and real-world examples to help learners understand how to use these services effectively.

After completing this course, you will be able to collect and store large amounts of data using AWS services like S3, DynamoDB, and Kinesis. You will also be capable of configuring data collection systems using IoT and Kinesis Firehose, implementing data lifecycle management strategies, and optimizing storage for performance and cost efficiency. Additionally, you will have the skills to create reactive systems using DynamoDB Streams and Lambda, and understand the security measures to ensure the integrity and confidentiality of your data.

This course assumes that you have a basic understanding of cloud computing and AWS services. Familiarity with the fundamentals of data storage and processing is helpful, though not required. Basic knowledge of concepts like databases and networking would be beneficial but is not mandatory to enroll in the course.

This course is intended for professionals who want to deepen their knowledge of big data technologies, particularly those who work with AWS or are looking to specialize in cloud data solutions. It is suitable for cloud architects, data engineers, and software developers who need to understand how to build scalable data solutions using AWS services.

The course is designed to be completed in approximately 6 hours. It includes a mix of video lessons, demonstrations, and hands-on labs that cover all the key topics in data collection and storage on AWS.

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

This course is currently available only to learners who have paid or received financial aid, when available.

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.

Financial aid available,