Overview
Explore the evolving landscape of modern data architectures in this 52-minute Linux Foundation webinar. Delve into the challenges posed by the ever-expanding data and analytics vendor ecosystem, and discover how innovative solutions are emerging to meet the growing demand for efficient data management and insights. Learn about the latest trends in operational data, analytics, and data pipelines, and understand how modern data architectures leverage cloud infrastructure to overcome traditional performance and availability limitations. Join experts Sanjeev Mohan and Dave Nielsen as they discuss agile and scalable solutions for various use cases, including IoT streaming anomaly detection, real-time analysis of sensitive financial data, and large-scale machine learning model deployment. Gain insights into topics such as big data background, modern data stacks, building blocks, cloud adoption, data gravity, decentralization, caching, common tools, evaluation criteria, and potential solutions to address the complexities of today's data-driven world.
Syllabus
Introduction
Background on Big Data
Modern Data Stacks
Building Blocks
Is this all in the cloud
Data of gravity
Decentralization
Other trends
Caches
Common tools and stacks
Evaluation criteria
Solutions
Conclusion
Taught by
Linux Foundation