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Data Integration Made Simple Using Estuary Flow
Rating: 4.6 out of 5(9 ratings)
346 students

Data Integration Made Simple Using Estuary Flow

A hands-on course demonstrating data pipeline implementation in Estuary
Created byShruti Mantri
Last updated 1/2025
English
English [Auto],

What you'll learn

  • Learn a cutting-edge data pipeline tool for Big Data: Estuary
  • Walk-through of Estuary terminologies with practicals
  • Hands-on practicals helping you understand Estuary clearly
  • Performing CDC and Schema Evolution with Estuary

Course content

6 sections19 lectures1h 58m total length
  • Real-time ETL and ELT3:35
  • Change Data Capture5:13
  • Introduction to Estuary Flow5:33
  • A Tour of the Estuary Dashboard4:37

Requirements

  • None

Description

Welcome to the course on Estuary, a powerful platform for implementing batch and real-time data pipelines in a no-code fashion. This is a beginner level course in which we will explore the core features and functionalities of Estuary, focusing on how you can seamlessly ingest, transform, and route data in real-time to drive better business insights and analytics.

Estuary offers an intuitive Dashboard to implement, monitor and manage your data pipelines, making it an ideal choice for those looking to streamline their data workflows. You’ll learn key Estuary Terminologies, including flows, captures, collections, and materializations, and understand how these elements interact to create dynamic, real-time data pipelines. With Estuary, you can integrate data across diverse systems, ensuring you stay on top of ever-changing business requirements.

What will you learn in this course?

  • Estuary Dashboard: Learn to navigate and leverage the Estuary Dashboard for efficient flow implementation, management and monitoring.

  • Estuary Terminologies: Understand the foundational concepts behind Estuary's data processing capabilities.

  • Estuary Flows: We will implement three major Estuary flows, each demonstrating a different use-case:

    1. CDC and Schema Evolution: Capture real-time data changes (Change Data Capture) and handle schema changes dynamically.

    2. Dekaf: Explore the Dekaf feature in Estuary and how it simplifies streaming data processing and analytics.

    3. ELK Stack Equivalent: Build a flow similar to the ELK stack to process and visualize logs.

This course requires no prior experience with Estuary or data engineering, making it the perfect starting point for those new to data streaming and pipeline management. You are not required to have any coding background to use Estuary. By the end of this course, you will be well-equipped to build and manage robust data flows using Estuary, enabling you to harness the full potential of your data in real-time.

Get ready to dive into the world of real-time data processing with Estuary and start building your first data pipelines today!

Who this course is for:

  • Those interested to learn about Data Pipelines, especially a No-Code Data Pipeline tool
  • Those who want to learn Estuary from SCRATCH to its Live Project Implementation
  • Those who want to learn about the modern tool for implementing Data Pipelines and their capabilities