YoVDO

Feeding ML Models with Real-Time Database Data Using Change Data Capture

Offered By: GeeCON Conference via YouTube

Tags

Machine Learning Courses TensorFlow Courses Real-Time Data Processing Courses Data Pipelines Courses Data Ingestion Courses Debezium Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the integration of Change Data Capture (CDC) technology with machine learning models in this 16-minute conference talk from GeeCON Prague 2023. Discover how organizations can leverage real-time data changes to derive actionable insights quickly. Learn about Debezium, a leading open-source framework for CDC, and its application in ingesting data from various databases into ML frameworks like TensorFlow. Gain insights into the benefits and potential challenges of implementing CDC for real-time data processing in legacy systems and modern infrastructures. Understand the mechanics of Debezium CDC and its role in facilitating immediate data transfer from source databases to ML frameworks. Equip yourself with knowledge to overcome potential pitfalls when adopting this approach for your data pipeline.

Syllabus

GeeCON Prague 2023: Vojtěch Juránek - Feeding the ML model with data from the database


Taught by

GeeCON Conference

Related Courses

Processing Real-Time Data Streams in Azure
Microsoft via edX
Gérez des flux de données temps réel
CentraleSupélec via OpenClassrooms
Data Streaming
Udacity
Taming Big Data with Apache Spark and Python - Hands On!
Udemy
Python & Cryptocurrency API: Build 5 Real World Applications
Udemy