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Streaming Data Enrichment and Analysis with Redpanda, CDC, and Python

Offered By: Databricks via YouTube

Tags

Streaming Data Courses Data Visualization Courses Machine Learning Courses Python Courses Sentiment Analysis Courses Debezium Courses Redpanda Courses

Course Description

Overview

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Explore a comprehensive 18-minute conference talk on streaming data enrichment and analysis using Redpanda, Change Data Capture (CDC), and Python. Discover how to leverage a streaming data platform for real-time data enrichment from monolithic databases into modern, streaming architectures. Learn about utilizing Debezium for CDC and developing a Python-based service that subscribes to data for real-time processing and applies machine learning for sentiment analysis. Gain insights into practical applications of data streaming and processing pipelines, including publishing processed sentiment data on another topic. Understand the integration of Debezium with Redpanda, Python service development for ML applications on streaming data, and strategies for data aggregation and visualization. This talk, presented by Bryan Wood, Solutions Engineer at Redpanda, is tailored for product leaders, managers, architects, and technical leads interested in adopting streaming technologies to enhance data-driven decision-making in their organizations.

Syllabus

Sponsored by: Redpanda | Streaming Data Enrichment and Analysis with Redpanda, CDC, and Python


Taught by

Databricks

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