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22 lines
1.7 KiB
Markdown
22 lines
1.7 KiB
Markdown
# AWS Big Data
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!!! info "Architectural Context"
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Detailed reference for AWS Big Data in the context of Cloud Providers (Hyperscalers).
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## Standard Reference
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- [aws.amazon.com/big-data](http://aws.amazon.com/big-data) <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span>
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- [blogs.aws.amazon.com/bigdata](http://blogs.aws.amazon.com/bigdata) <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span>
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- [Using Spark SQL for ETL](http://blogs.aws.amazon.com/bigdata/post/Tx2D93GZRHU3TES/Using-Spark-SQL-for-ETL) <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span>
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- [AWS Data Pipeline](https://aws.amazon.com/glue) <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span>
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- [AWS Data Pipeline Documentation](https://docs.aws.amazon.com/data-pipeline) <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span>
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- [Querying Amazon Kinesis Streams Directly with SQL and Spark Streaming](https://aws.amazon.com/blogs/big-data/querying-amazon-kinesis-streams-directly-with-sql-and-spark-streaming) <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span>
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- [whizlabs.com: AWS Kinesis vs Kafka Apache](https://www.whizlabs.com/blog/kinesis-vs-kafka) <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span>
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- [medium: No-Code Data Collect API on AWS](https://medium.com/@dima.statz_89242/no-code-data-collect-api-on-aws-d79e3681d204) <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span>
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- [AWS Big Data Blog: Category - AWS Data Pipeline](https://aws.amazon.com/blogs/big-data/category/analytics/aws-data-pipeline) <span class='md-tag md-tag--info'>[COMMUNITY-TOOL]</span>
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---
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💡 **Explore Related:** [AWS Security](./aws-security.md) | [AWS Storage](./aws-storage.md) | [AWS Databases](./aws-databases.md)
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