Udemy - Kafka Flink End-to-end Streaming pipeline - python Handso...
- Category Other
- Type Tutorials
- Language English
- Total size 564.5 MB
- Uploaded By freecoursewb
- Downloads 320
- Last checked 2 days ago
- Date uploaded 2 years ago
- Seeders 2
- Leechers 3
Infohash : EE03ED59EF307CAEF9393FAF12929FB377C9DDC6
Kafka Flink End-to-end Streaming pipeline: python Handson 
https://DevCourseWeb.com
Published 5/2023
Created by Big Data Landscape
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 15 Lectures ( 1h 19m ) | Size: 564 MB
Python Big Data Internship Program: Real Time Streaming pipeline with Kafka, Flink, Hadoop HDFS, Elasticsearch & Kibana
What you'll learn
Kafka fundamentals: Master the key concepts and functionalities of Apache Kafka for efficient data ingestion and streaming.
Flink 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.
Requirements
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
Files:
[ DevCourseWeb.com ] Udemy - Kafka Flink End-to-end Streaming pipeline - python Handson- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Introduction
- 1. Introduction.mp4 (13.3 MB)
- 1. The architecture Design of the hands-on project.mp4 (15.5 MB)
- 2. Real time Data Source Twitter API from Developer Platform.mp4 (7.5 MB)
- 3. Extracting Twitter Data Stream from API in python.mp4 (50.9 MB)
- 4. Create a Tweets Data Kafka Producer.mp4 (28.4 MB)
- 5. Create a Tweets Data Kafka Consumer.mp4 (45.5 MB)
- 6. Kafka Consumer Store Data in Hadoop HDFS.mp4 (53.2 MB)
- 7. Complete Python Code resources (Twitter Producer & Consumer + HDFS Consumer).html (0.1 KB) Twitter Kafka Handson Project code demo
- Kafka_tweets_consumer.py (0.8 KB)
- hdfs_consumer.py (1.1 KB)
- kafka_tweets_producer.py (1.7 KB)
- secret.txt (0.1 KB)
- 1. Real Time Streaming Pipeline Architecture Design.mp4 (24.4 MB)
- 2. Requirement for this hands on (updated versions ).mp4 (11.9 MB)
- 3. Apache Flink Introduction pyflink.mp4 (14.3 MB)
- 4. Configure Flink to consume data from a Kafka topic as a data source pyFlink.mp4 (70.7 MB)
- 5. Configure Flink to write the processed data to a Elasticsearch sink pyFlink.mp4 (90.4 MB)
- 6. Real Time Tweets Word Count with pyFlink and Kafka.mp4 (138.5 MB)
- 7. Complete Python Code Streaming pipeline.html (0.0 KB) Real Time Streaming pipeline Handson code Flink Kafka Elasticsearch Pipeline
- kafka_flink_elasticsearch_streaming.py (1.9 KB)
- kafka_flink_streaming.py (1.4 KB)
- tweets_kafka_producer.py (2.0 KB) word count
- pyflink_word_count.py (3.9 KB)
- Bonus Resources.txt (0.4 KB)
There are currently no comments. Feel free to leave one :)
Code:
- udp://tracker.torrent.eu.org:451/announce
- udp://tracker.tiny-vps.com:6969/announce
- http://tracker.foreverpirates.co:80/announce
- udp://tracker.cyberia.is:6969/announce
- udp://exodus.desync.com:6969/announce
- udp://explodie.org:6969/announce
- udp://tracker.opentrackr.org:1337/announce
- udp://9.rarbg.to:2780/announce
- udp://tracker.internetwarriors.net:1337/announce
- udp://ipv4.tracker.harry.lu:80/announce
- udp://open.stealth.si:80/announce
- udp://9.rarbg.to:2900/announce
- udp://9.rarbg.me:2720/announce
- udp://opentor.org:2710/announce