Back to Basics: Real-Time Data Analysis using AWS

Опубликовано 13 июня 2024, 17:58

Struggling to derive real-time insights from your data? Learn how to build a serverless analytics pipeline on AWS to gain actionable insights like determining your most effective ads - without managing any infrastructure!

Join Zaiba as she covers:
✅ Common challenges with real-time data analysis
✅ Serverless architecture using AWS services like MSK Serverless, Kinesis Data Analytics, and OpenSearch Serverless
✅ Benefits of going serverless - no infrastructure management, auto-scaling, and pay-per-use
✅ Key considerations: avoiding emulators, accelerating dev loops, MSK Serverless configs
✅ Choosing the right services based on your throughput needs
✅ Monitoring with CloudWatch alarms

Whether you're an e-commerce business, IoT company, or any data-driven org, this pattern eliminates heavy lifting so you can focus on extracting value from your real-time data streams.

Ready to unlock powerful insights without the ops burden? Let's dive in! 👇

Additional Resources:
AWS Serverless Services: aws.amazon.com/serverless
Amazon MSK: aws.amazon.com/msk/what-is-kaf...
Amazon MSK Serverless: docs.aws.amazon.com/msk/latest...
Building a Serverless Apache Kafka Data Pipeline workshop: catalog.workshops.aws/building...
Build serverless data pipeline: aws.amazon.com/blogs/big-data/...
Testing serverless applications on AWS: docs.aws.amazon.com/prescripti...
Configuration for serverless clusters: docs.aws.amazon.com/msk/latest...

Check out more resources for architecting in the #AWS cloud:
amzn.to/3qXIsWN

#AWS #AmazonWebServices #CloudComputing #BackToBasics #DataAnalytics #AmazonMSK