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Building a Secure Data Pipeline with AWS Kinesis and S3

INTERMEDIATE
100 minutes
5 tasks

In this lab, you will build a secure data pipeline using Amazon Kinesis Data Streams and Amazon S3. You will integrate these services with AWS IAM and AWS KMS to ensure that your data remains secure both in transit and at rest. You will learn how to set up streaming data ingestion using Kinesis, store encrypted data in S3, and implement fine-grained access control with IAM. This lab emphasizes the practical application of AWS data security practices. By completing this lab, you will enhance your skills in configuring a secure and efficient data pipeline, crucial for handling sensitive data in real-world applications.

Scenario

Your company, DataSec Solutions, wants to enhance its data streaming capabilities while ensuring compliance with stringent security regulations. As part of the data engineering team, you are tasked with setting up a streaming data pipeline that handles sensitive customer data, ensuring encryption and access control are strictly enforced. This solution must be scalable and maintainable, enabling real-time insights while safeguarding customer information.

Learning Objectives

  • Configure Amazon Kinesis Data Streams for real-time data ingestion.
  • Implement AWS IAM for access management to secure streaming data.
  • Enable encryption in transit and at rest using AWS KMS and S3.
  • Store streaming data securely in Amazon S3 with appropriate IAM roles.

tasks (5)

task 1: Create a Kinesis Data Stream for data ingestion

15 min

task 2: Secure the Kinesis stream with IAM roles

20 min

task 3: Set up S3 bucket with server-side encryption

25 min

task 4: Integrate Kinesis with Glue for data preparation

20 min

task 5: Enable monitoring and logging with CloudWatch

20 min

Prerequisites

  • •Basic understanding of AWS services such as Kinesis, IAM, and S3.
  • •Familiarity with AWS Management Console.

Skills Tested

Setting up and managing Kinesis Data Streams.Implementing IAM roles and policies for secure access control.Configuring S3 buckets with server-side encryption using AWS KMS.Using AWS Glue to automate data schema discovery and preparation.Monitoring AWS services with CloudWatch.

References