The document discusses big data, high performance computing (HPC), and streaming on AWS. It defines big data, HPC, and streaming services available on AWS including Amazon Kinesis Data Streams. Kinesis allows continuously capturing large amounts of data from thousands of sources and processing it in real-time. The document provides overviews of big data, HPC and streaming capabilities on AWS and benefits of using AWS services like Kinesis for processing streaming data.

1. Big Data , HPC and Streaming
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2. Big Data on AWS
Generation
Collection and Storage
Analytics and
Computation
Collaboration and
sharing
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3. Big Data and AWS Cloud

4. High Performance Computing on AWS
● Innovate Faster
● Optimize Cost
● Increase Collaboration
● Faster Time to results
● Better ROI(Return on Investment)
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5. Why AWS for HPC?
● Low cost with flexible pricing
● Efficient clusters
● Unlimited infrastructure
● Faster time to results
● Concurrent clusters on-demand
● Increased collaboration
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15. What is Data Stream?
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Data that is generated continuously by thousands of data sources, which typically send in the data
records simultaneously, and in small sizes.

16. What is Streaming Data?
● Continuously Generated
● Thousands Data Sources
● Sends Record
○ Simultaneously
○ Small data in size
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19. What is Amazon Kinesis Data Stream?
● massively scalable
● durable real-time data streaming service
● can continuously capture GB of data per
second
○ from hundreds of thousands of
sources
■ website clickstreams
■ database event streams
■ financial transactions
■ social media feeds
■ IT logs
■ location-tracking events.
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20. Benefits of KDS
● Real-time performance
● Durable
● Secure
● Easy to use
● Elastic
● Low cost
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24. How It Works?
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25. Kinesis Data Streams High-Level Architecture