Real-time Data Streaming with Amazon Kinesis and AWS Glue

INTERMEDIATE
100 minutes
5 tasks

In this lab, you will build a real-time data streaming architecture using Amazon Kinesis Data Streams and AWS Glue. You'll set up a data ingestion pipeline that captures, processes, and catalogues data to make it ready for real-time analytics. This AWS solution helps in reducing latency in data processing, ensuring that insights are available at the speed of your business needs. Construct a scenario where you integrate data from multiple sources into a single platform for consistent and streamlined analytics workflows.

Scenario

Your company, DataStreamTech, is focusing on upgrading its real-time analytics capability to compete in the fast-paced technology market. By leveraging Amazon Kinesis and AWS Glue, your team is tasked with handling data streams from IoT devices deployed across various regions, ensuring data is processed with minimal delay to maintain a competitive edge.

Learning Objectives

  • Set up Amazon Kinesis Data Streams for real-time data ingestion
  • Configure AWS Glue Crawlers to update data catalog
  • Integrate AWS Glue Jobs for data processing within the pipeline
  • Design and verify data lifecycle policies for persistent storage in Amazon S3

tasks (5)

task 1: Create a Kinesis Data Stream for ingesting data

15 min

task 2: Configure AWS Glue Crawler for data cataloging

20 min

task 3: Integrate AWS Glue Job for ETL processing

25 min

task 4: Design S3 Lifecycle Policies for data management

15 min

task 5: Verify data integrity with AWS Glue Data Catalog

25 min

Prerequisites

  • Basic understanding of AWS Glue and Kinesis services
  • Familiarity with AWS S3 storage and lifecycle policies

Skills Tested

Implementing real-time data ingestion using Amazon KinesisConfiguring AWS Glue Data Catalog and CrawlersETL job management using AWS GlueDesigning S3 Lifecycle Policies for cost optimization
    Real-time Data Streaming with Amazon Kinesis and AWS Glue - Hands-On Lab - CertiPass