This presentation is about AWS services used for Big Data Analysis in Supercell Games like AWS S3 bucket, S3 Glacier, kinesis, AWS Redshift.
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3. Challenge
• High-volume game performance
• Scalability
• Rapid growth
• Powerful infrastructure for running their data
pipelines, analytics platform and web
offerings.
• Real-time Analysis
4. For Storage Solution
S3 Bucket S3 Glacier
Amazon Simple Storage Service (Amazon
S3) is an object storage service that offers
scalability, data availability, security, and
performance
Amazon S3 Glacier is a secure, durable,
and extremely low-cost Amazon S3
storage class for data archiving and long-
term backup.
6. Long-term storage, backups, and
archiving are handled in the low
cost Amazon Glacier storage
service.
Amazon Simple Storage
Service (Amazon S3) to store
up to 10 terabytes of games
event data each day
Lifecycle Rule
Transfer of old Data
8. Amazon Kinesis
Amazon Kinesis makes it easy to collect, process, and analyze real-time,
streaming data so you can get timely insights and react quickly to new
information.
For Real-time Data Solution
9. Amazon Kinesis
Real-Time
Amazon Kinesis enables you to ingest, buffer, and process
streaming data in real-time, so you can derive insights in seconds
or minutes instead of hours or days.
Fully managed
Amazon Kinesis is fully managed and runs your streaming
applications without requiring you to manage any infrastructure.
Scalable
Amazon Kinesis can handle any amount of streaming data and
process data from hundreds of thousands of sources with very
low latencies.
Amazon Kinesis Benefits
10. Amazon Kinesis
Video Streams
Amazon Kinesis Video Streams makes it easy to securely stream
video from connected devices to AWS for analytics, machine
learning (ML), and other processing.
Data Stream
Amazon Kinesis Data Streams is a scalable and durable real-time
data streaming service that can continuously capture gigabytes of
data per second from hundreds of thousands of sources.
Data Analytics
Amazon Kinesis Data Analytics is the easiest way to process data
streams in real time with SQL or Apache Flink without having to
learn new programming languages or processing frameworks.
Amazon Kinesis capabilities
12. Amazon Redshift
• Analyze all of your data with the fastest
and most widely used cloud data
warehouse
• Analyze all data types across your data
warehouse, operational database, and
data lake.
• Use standard SQL to run queries and
deploy machine learning (ML) models.
Amazon Redshift