# AWS Big Data 
- [Introduction](#introduction)
- [AWS Data Lake](#aws-data-lake)
- [AWS Data Pipeline (aka Big Data Pipelines or Data Streams)](#aws-data-pipeline-aka-big-data-pipelines-or-data-streams)

## Introduction
- [aws.amazon.com/big-data](http://aws.amazon.com/big-data)
- [blogs.aws.amazon.com/bigdata](http://blogs.aws.amazon.com/bigdata/)
- [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/)
- [Using Spark SQL for ETL](http://blogs.aws.amazon.com/bigdata/post/Tx2D93GZRHU3TES/Using-Spark-SQL-for-ETL)
- [whizlabs.com: AWS Kinesis vs Kafka Apache](https://www.whizlabs.com/blog/kinesis-vs-kafka/)

## AWS Data Lake
- [Building a Data Lake on AWS](https://aws.amazon.com/big-data/data-lake-on-aws/) AWS provides a highly scalable, flexible, secure, and cost-effective solution for your organization to build a Data Lake – a data repository for both structured and unstructured data that is designed to be easily accessible for on-demand data analytics enabling you to answer questions as they arise.

## AWS Data Pipeline (aka Big Data Pipelines or Data Streams)
- [AWS Data Pipeline](https://aws.amazon.com/datapipeline/)
- [AWS Data Pipeline Documentation](https://docs.aws.amazon.com/data-pipeline/index.html)
- [medium: No-Code Data Collect API on AWS](https://medium.com/@dima.statz_89242/no-code-data-collect-api-on-aws-d79e3681d204) A No-Code Data Collections mechanism for Big Data Pipelines on AWS.
- [AWS Big Data Blog: Category - AWS Data Pipeline](https://aws.amazon.com/blogs/big-data/category/analytics/aws-data-pipeline/)