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Data Observability Explained: The Key to Trusted Data Pipelines

Data Observability Explained: The Key to Trusted Data Pipelines. Data observability is crucial for companies to ensure data quality, detect anomalies, and optimize performance in real-time, enabling them to make the most of their data assets. Data Quality and Reliability 🔍 Data observability monitors the health and state of all data systems, identifying and resolving issues in real-time, going beyond traditional monitoring to ensure data quality and reliability. 📊 80-90% of organizational data is consumed by data engineering teams, who often become overwhelmed and sloppy, leading to anomalous records and null values that can compromise data integrity. AI-Powered Solutions 🤖 IBM Data Fabric's observability solution uses AI to automatically detect anomalous pipeline behavior, data drift, and deviations, enabling proactive issue resolution before data reaches consumption layers. Performance and Optimization ⚡ Data observability helps guarantee SLAs by detecting issues earlier, improving MTTR, and optimizing resources through monitoring of record volume and speed to identify resource allocation issues. Real-Time Monitoring 🔄 As companies adopt streaming data, real-time observability becomes crucial, serving as a pillar of data governance and complementing traditional data quality tools and catalog solutions. 🔥 Like and Subscribe 🔥 💰 Sponsors If you are interested in sponsoring my content, contact me directly via email or LinkedIn for more information. email = heyscott @ smcjournal.com (remove spaces around the @) ☕ Want to support the show? Buy Me A Coffee! https://bit.ly/3NadcPK ☕ OR BUY MY COFFEE ► https://bit.ly/503blend 💵 Buy something from my Amazon Store ► https://bit.ly/smcllcamzn 👋 Connect With Me 📫 Newsletter (Subscribe): https://bit.ly/ytmailinglist 🔗 LinkedIn Profile: https://bit.ly/30Eshp7 🔗 LinkedIn Company: https://bit.ly/3kICS9g 𝕏 Twitter/X: https://bit.ly/3HmWF8d 📸 Instagram: https://bit.ly/smcinsta 🎥 TikTok: https://bit.ly/smctiktok 🔗 Other Links and Channels ✨Scott Moore Consulting: ► https://scottmoore.consulting ⏲ Performance Tour: ► https://theperformancetour.com 🎤SMC Journal Podcast: ► https://smcjournal.com 🏎️DevOps Driving: ► https://devopsdriving.com 🔐The Security Champions: ► https://thesecuritychampions.com 🚀DevPerfOps Foundation: ► https://devperfops.org 🚢PerfCruise: ► https://perfcruise.com 🔗 Resources I Recommend Learn data and AI skills at DataCamp: ► https://datacamp.pxf.io/VxxXdO Note: Affiliate links may be included in this description. I may receive a small commission at no cost to you. Thanks for supporting my channel! 😃 Timestamps 00:00 - Intro 01:23 - Ryan Yackel 01:53 - What is Data Observability? 03:10 - The importance of data 04:24 - The challenge of catching up 06:16 - How is AI used with Data Observability 08:22 - Preventing corruption of the AI models 10:13 - Applying Performance Engineering 12:50 - What does Data Observability look in the future? 16:08 - Summary / Outro #Data #DataObservability #Explained #observability #The #Key #Trusted #DataPipelines #trusteddata