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This module is designed to help you understand, implement, and practice the fundamentals of data ingestion pipelines. You'll gain hands-on experience building scripts and working with cloud services to manage real-world data efficiently.
Objective: Learn to gather and store raw input data for processing.
Each lesson contains:
Video Lecture
Hands-On Coding Session:
Activities & Assignments: Practice exercises to apply your knowledge.
Quiz: Short quiz to test your understanding.
Resources: Links to external documentation and courses for deeper learning.
Lesson 1: Understanding Data Sources
Types of data: Databases, APIs, and file uploads.
Differences between real-time and batch ingestion.
Lesson 2: Setting Up Cloud Storage (AWS S3)
Create your own AWS account and set up an S3 bucket.
Learn to upload data programmatically using Python and boto3.
Lesson 3: Building a Data Ingestion Script
Connect to a database, fetch data, and store it locally.
Automate data uploads to AWS S3.
Video lectures and downloadable materials are organized in the dashboard.
Hands-on labs and coding environments are integrated (e.g., AWS, Jupyter).