Apache Flink & Kafka End-to-end Streaming Project Hands-on
Python Big Data Internship Program: Real Time Streaming pipeline with Kafka, Flink, Hadoop HDFS, Elasticsearch & Kibana
3.74 (23 reviews)
233
students
2 hours
content
Jan 2024
last update
$13.99
regular price
What you will learn
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
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udemy ID
5/26/2023
course created date
7/5/2023
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