Mô tả

This is the only updated Handson "Apache Flink" Course in the World !

This is a practical Apache Flink Handson Course (not thorical) with  complete real world end-to-end project


Say goodbye to the frustration of searching for code snippets or outdated examples!

Our course ensures you have everything you need to succeed. We believe in the power of hands-on learning, and that's why we provide you with comprehensive handson with code samples and examples.


NB: This is not a theorical course, It's a practical big data hands on course


For Non-Python developer's help, All Flink & Kakfa Python codes are explained line by line in such a way that even a non -technical person can understand.


Unlock the power of real-time data processing and revolutionize your data engineering skills with our comprehensive practical course, "Build End-to-End Streaming Pipeline: Python Big Data Hands-On."

Designed for data engineers, Python developers, and big data enthusiasts, this course takes you on a practical journey to master the art of building streaming data pipelines using Python.


Through hands-on exercises and real-world examples, you'll gain a solid understanding of streaming data processing concepts, Python programming for big data, and essential tools like Kafka, PyFlink, Elasticsearch, Kibana, and Pydoop (HDFS).


From data ingestion to transformation, real-time processing to storage, this course covers it all, empowering you to build scalable and efficient streaming pipelines.


What sets this course apart is its practical focus.

You'll dive into actual implementation, learning how to consume data from Kafka topics, process it using Python, and store it in Hadoop Distributed File System (HDFS) using Pydoop.

Gain invaluable experience in working with real-time data, handling big data challenges, and designing end-to-end streaming pipelines that deliver actionable insights.

Whether you're a seasoned data engineer looking to enhance your skills or a Python developer venturing into the world of big data, this course offers a beginner-friendly approach with step-by-step instructions


This is complete Big Data Streaming hands-on experience where you'll learn to build an end-to-end stream processing pipeline from scratch using Python., we'll build a powerful end-to-end stream processing pipeline using Flink (PyFlink), kafka , Hadoop HDFS, Elasticsearch, and Kibana !


Join us today and embark on a transformative journey to become a proficient builder of end-to-end streaming pipelines using Python Kafka, Flink (PyFlink), HDFS (pydoop) , Kibana and more +

Bạn sẽ học được gì

Kafka fundamentals: Master the key concepts and functionalities of Apache Kafka for efficient data ingestion and streaming.

Flink (better than Spark) for real-time processing: Learn how to leverage Apache Flink for real-time data processing and analytics in streaming pipelines.

Elasticsearch for indexing and search: Explore the capabilities of Elasticsearch for indexing and querying large volumes of streaming data in real time.

Visualization with Kibana: Use Kibana to create interactive visualizations and dashboards that provide insights into your streaming data pipeline.

Integrating Kafka and HDFS: Learn how to integrate Kafka with HDFS using Python to store streaming data efficiently and reliably.

Hands-on implementation: Get hands-on experience by building a Python-based solution that consumes Kafka data streams and stores them in HDFS

PyFlink for real-time processing: Utilize PyFlink for real-time data processing.

Pydoop for HDFS integration: Integrate HDFS with Python using Pydoop.

Kafka-Python for Kafka integration: Connect to Kafka and process streaming data using Kafka-Python.

Apache Flink Stream processing with Pyflink

End to End Real World Big Data Project : Stream processing pipeline

Yêu cầu

  • This course is designed to be beginner-friendly
  • Basic familiarity with Python programming language would be helpful
  • You will be guided through practical exercises that focus on building an end-to-end streaming pipeline using Python
  • Basic Knowledge on Kafka, Flink, Hadoop, Elasticsearch and Kibana

Nội dung khoá học

4 sections

Introduction

1 lectures
Introduction
01:37

Python Big Data Ingestion: Streaming Data to Hadoop HDFS with Kafka & Pydoop

8 lectures
The architecture Design of the hands-on project
02:29
Real time Data Source: Twitter API from Developer Platform
01:02
Extracting Twitter Data Stream from API in python
06:50
No Twitter API, Don't worry ! | Create Twitter Data Stream Simulator
02:00
Create a Tweets Data Kafka Producer
02:45
Create a Data Kafka Consumer
06:10
Kafka Consumer : Store Data in Hadoop HDFS
06:34
Complete Python Code resources (Producer & Consumer + HDFS Consumer)
00:02

Real Time Streaming pipeline Handson : Kafka, Flink, ElasticSearch and Kibana

10 lectures
Real Time Streaming Pipeline Architecture Design
03:06
Requirement for this hands on (updated versions )
01:50
Apache Flink Introduction | pyflink
04:15
Spark vs Flink --- Article
01:41
Exploring the Architecture of a Scalable Streaming Pipeline
01:44
Configure Flink to consume data from a Kafka topic as a data source | pyFlink
11:32
Introduction to Elasticsearch and Kibana | Article
02:09
Configure Flink to write the processed data to a Elasticsearch sink | pyFlink
10:24
Real Time Tweets Word Count with pyFlink and Kafka
21:19
Complete Python Code : Streaming pipeline
00:02

Bonus - Lectures (Optional)

6 lectures
Apache Kafka Advantages
02:09
About Kafka -- Kafka Overview
02:08
About Flink
05:04
Flink APIs Overview
06:09
Apache Flink Fault Tolerance & Recovery
09:33
Thank you !
01:08

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