Basics of Data Integrations

𝗦𝗶𝗴𝗻 𝘂𝗽 𝗳𝗼𝗿 𝗼𝘂𝗿 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝟱𝟳% 𝗢𝗙𝗙—𝗺𝗮𝘀𝘁𝗲𝗿 𝗱𝗮𝘁𝗮 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, 𝗣𝘆𝘁𝗵𝗼𝗻, 𝗦𝗤𝗟, 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗺𝗼𝗿𝗲 𝗮𝘁: https://bit.ly/3RBFBl8 Welcome back to 365 Data Science! In this video, we break down the fundamentals of data integration—a crucial concept in modern data architecture and engineering. Whether you're just starting your data career or looking to sharpen your skills, this lesson will give you a clear, practical overview of how data moves through complex systems. --------------------------------------------------------------------------------------------------------- 🔍 What you'll learn in this video: • What is data integration and why it matters • The difference between ETL and ELT • Real-time vs batch processing • Common data integration patterns: - Extract, Transform, Load (ETL) - Extract, Load, Transform (ELT) - Event-Driven Integration - Data Virtualization • How data pipelines work and their role in automation • When to choose batch vs streaming pipelines Think of data integration like designing a smart, efficient highway for your data—getting it from source to destination, cleaned and ready for action. ---------------------------------------------------------------------------------------------------- 💬 Have questions or suggestions? Drop them in the comments—we’d love to hear from you. 👍 Like, 💾 Save, and 🔔 Subscribe to never miss a lesson! Don't forget to connect with us🤝 https://www.instagram.com/365datascience/ https://www.facebook.com/365DataScience https://www.linkedin.com/school/365datascience/