Real Estate Data Engineering with Artificial Intelligence

Master the use of cutting-edge tools such as Large Language Models (ChatGPT), WebSocket, Chrome DevTools Protocol (CDP), Docker, Apache Kafka, Apache Spark, Apache Zookeeper, Confluent Control Center, and Cassandra

Created by

Yusuf Ganiyu

02:06:04 Hours

    • (0 Reviews)

English

Last updated

Thu, 11-Apr-2024

Course description

This course is designed for data engineers, developers, and IT professionals who are eager to delve into the dynamic world of real estate data engineering. This course offers a unique opportunity to build a comprehensive end-to-end data engineering streaming pipeline, covering every critical phase from data gathering and ingestion to processing and final storage.

Course Features:

  • Hands-On Learning: Through detailed video lectures and timestamps for easy navigation, you'll get hands-on experience with real-world applications and scenarios.
  • Expert Instruction: Led by a seasoned data engineer, this course provides insights and tips drawn from real industry experience.
  • Resource-Rich: Access to full source code for members, comprehensive documentation links, and a free $10 signup credit to jumpstart your learning journey.
  • Community and Support: Join a community of like-minded professionals and enthusiasts, with direct access to the instructor for questions and guidance.

Who Should Enroll:

This course is perfect for anyone interested in data engineering, big data, and real-time analytics and looks to apply these to the real estate sector. This course is suitable for all levels looking to enter the field or an experienced professional aiming to upgrade your skills, this course offers valuable knowledge and skills.

Enroll now to transform your understanding of data engineering and take your skills to the next level in the exciting world of real estate data analytics.

Don't miss out on this opportunity to learn from the best, apply your knowledge in practical projects, and advance your career!

What will i learn?

  • Mastery of Data Gathering Techniques: Learn to leverage advanced tools like Large Language Models (LLMs), WebSocket, and Chrome DevTools Protocol to gather and extract real-time property data from various sources.
  • Robust Streaming Architecture: Implement a scalable and reliable streaming pipeline using Apache Kafka, Apache Spark, and Cassandra to ingest, process, and store real-time property data.
  • Leveraging Docker and Containerization: Gain expertise in using Docker and Docker Compose to manage and deploy your data engineering application, ensuring consistent and replicable environments.
  • Real-time Data Processing and Analytics: Discover how to handle and process real-time data streams, implement master-worker architecture, and optimize your data storage solutions to enable real-time analytics.
  • Real-time Data Processing and Analytics: Discover how to handle and process real-time data streams, implement master-worker architecture, and optimize your data storage solutions to enable real-time analytics.

Requirements

  • Basic knowledge of python

Frequently asked question

Yes, access will be provided to the codes and resources

Yusuf Ganiyu

View profile

£14.99

£29.99

Lectures

15

Skill level

Beginner

Expiry period

Lifetime

Certificate

Yes
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