# AWS Big Data
!!! info "Architectural Context"
Detailed reference for AWS Big Data in the context of Cloud Providers (Hyperscalers).
## Table of Contents
1. [Architectural Foundations](#architectural-foundations)
- [Kubernetes Tools](#kubernetes-tools)
- [General Reference](#general-reference)
1. [Cloud Infrastructure](#cloud-infrastructure)
- [AWS](#aws)
- [Big Data](#big-data)
- [ETL](#etl)
- [Event Streaming](#event-streaming)
- [Event Streaming](#event-streaming-1)
- [Comparison](#comparison)
## Architectural Foundations
### Kubernetes Tools
#### General Reference
- [Using Spark SQL for ETL](https://blogs.aws.amazon.com/bigdata/post/Tx2D93GZRHU3TES/Using-Spark-SQL-for-ETL) [COMMUNITY-TOOL] — A curated technical resource and architectural guide covering blogs.aws.amazon.com in the Kubernetes Tools ecosystem.
- [medium: No-Code Data Collect API on AWS](https://medium.com/@dima.statz_89242/no-code-data-collect-api-on-aws-d79e3681d204) [COMMUNITY-TOOL] — A curated technical resource and architectural guide covering medium: No-Code Data Collect API on AWS in the Kubernetes Tools ecosystem.
## Cloud Infrastructure
### AWS
#### Big Data
- **(2025)** [**aws.amazon.com/big-data**](https://aws.amazon.com/big-data) [NONE CONTENT] [ADVANCED LEVEL] [DOCUMENTATION] 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — Official AWS portal showcasing enterprise managed data services. Covers analytical platform integrations utilizing Amazon EMR, AWS Glue, Athena, and cloud-native Amazon Redshift.
- **(2025)** [**blogs.aws.amazon.com/bigdata**](https://blogs.aws.amazon.com/bigdata) [NONE CONTENT] [ADVANCED LEVEL] [DOCUMENTATION] 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — AWS Big Data blog feed publishing architectural insights, streaming pipeline blueprints, lake house migrations, and optimized resource configurations on top of AWS analytics stacks.
#### ETL
- **(2025)** [==AWS Data Pipeline==](https://aws.amazon.com/glue) [NONE CONTENT] [DOCUMENTATION] 🌟🌟🌟🌟🌟 [DE FACTO STANDARD] — Official page of AWS Glue, a fully managed serverless data integration service. Identifies structural discovery using AWS Glue Data Catalog, PySpark ETL execution, and schema registry controls.
- **(2025)** [AWS Data Pipeline Documentation](https://docs.aws.amazon.com/data-pipeline) [NONE CONTENT] [DOCUMENTATION] 🌟🌟 [COMMUNITY-TOOL] — Classic developer documentation for AWS Data Pipeline. Details the scheduling of batch workflows across EC2 and EMR resources (largely superseded by modern AWS Glue and Step Functions setups).
- **(2024)** [AWS Big Data Blog: Category - AWS Data Pipeline](https://aws.amazon.com/blogs/big-data/category/analytics/aws-data-pipeline) [NONE CONTENT] [DOCUMENTATION] 🌟🌟 [LEGACY] — Technical blog category detailing legacy deployment setups for AWS Data Pipeline, providing structural templates for data movements before cloud-native ETL tools gained dominance.
#### Event Streaming
- **(2016)** [**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) [SCALA CONTENT] [ADVANCED LEVEL] 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — Technical blueprint detailing Spark Streaming integration with Amazon Kinesis streams. Discusses record-processing window optimizations, checkpoint configurations, and SQL querying on live event pipelines.
### Event Streaming (1)
#### Comparison
- **(2021)** [**whizlabs.com: AWS Kinesis vs Kafka Apache**](https://www.whizlabs.com/blog/kinesis-vs-kafka) [NONE CONTENT] 🌟🌟🌟🌟 [ENTERPRISE-STABLE] — Comparative architectural review between AWS Kinesis and Apache Kafka. Analyzes data retention policies, throughput capabilities, scaling overheads, and total cost of ownership (TCO) profiles.
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