Apache Flink For Sales Analytics - End to End Data Engineering

In this video you will setup end-to-end data engineering project for Sales Analytics using Apache Flink, a leading framework for big data processing.

🔍 What You'll Learn:
✅ Apache Flink Basics: Get to grips with the fundamentals of Apache Flink, a powerful open-source stream processing framework.
✅ Data Ingestion and Processing: Learn how to ingest and process sales data from CSV files using Flink's DataSet API.
✅ Complex Data Transformations: Understand how to perform joins, aggregations, and sorting on large datasets.
✅ Custom Output Formats: See how to create custom output formats to write processed data back to the file system.

👨‍💻 In This Tutorial:
We've developed a real-world example of a Flink application that performs comprehensive sales analysis. The application reads sales and product data, joins these datasets, and computes total sales per category. It then sorts the results and writes them back to a CSV file, showcasing the power and ease of handling big data with Flink.

📝 Key Concepts Covered:
👉 Reading CSV data into Flink
👉 Using POJOs for data representation
👉 Joining datasets on key fields
👉 Aggregating data with map and reduce functions
👉 Sorting data in descending order of sales
👉 Writing custom output formats

💡 Perfect For:
👍🏻 Data Engineers and Analysts looking to enhance their big data processing skills.
👍🏻 Beginners in Apache Flink eager to learn through practical examples.
👍🏻 Anyone interested in understanding how sales data can be analyzed and processed in a big data environment.

🔗 Source Code:
Get the full source code of the project here: https://github.com/airscholar/ApacheFlink-SalesAnalytics

📚 Pre-Requisites:
Basic understanding of Java programming and familiarity with concepts of big data and data processing.

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