Big Data Stream Processing with Amazon Web Services

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Four Core Services of Amazon Kinesis Is Divided

1. Video Streams

2. Data Streams

3. Data Firehose

4. Data Analytics

Get access to real-time analytics and business agility and invest in big data stream processing with Amazon Web Services to drive innovation, efficiency, and competitive advantage!

Common situation

Architecture without KinesisStreams

Reading and writing from and to the database

Moving data to a specific database

Splitting App execution steps into microservices

Architecture using Data Streams

Architecture using Data Firehouse

Any sample?

Provider ( PHP ) :

Consumer ( Lambda node.js ) :

Accelerate your data journey!

Leverage serverless Kinesis data analytic s for real-time decision making and scalable cloud solutions with AWS to ensure your business resilience today!

Business Value and Future of Big Data Stream Processing with AWS

Conclusion

FAQ

What is stream processing in the context of big data?

Why is stream processing important for big data?

Which AWS services are commonly used for stream processing?

How does Amazon Kinesis support stream processing?

How is real-time processing performed on AWS?

How is stream data stored for long-term analysis?

Is stream processing secure on AWS?