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21 lines
1.6 KiB
Markdown
21 lines
1.6 KiB
Markdown
# AWS Big Data
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- [Introduction](#introduction)
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- [AWS Data Lake](#aws-data-lake)
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- [AWS Data Pipeline (aka Big Data Pipelines or Data Streams)](#aws-data-pipeline-aka-big-data-pipelines-or-data-streams)
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## Introduction
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- [aws.amazon.com/big-data](http://aws.amazon.com/big-data)
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- [blogs.aws.amazon.com/bigdata](http://blogs.aws.amazon.com/bigdata/)
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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/)
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- [Using Spark SQL for ETL](http://blogs.aws.amazon.com/bigdata/post/Tx2D93GZRHU3TES/Using-Spark-SQL-for-ETL)
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- [whizlabs.com: AWS Kinesis vs Kafka Apache](https://www.whizlabs.com/blog/kinesis-vs-kafka/)
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## AWS Data Lake
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- [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.
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## AWS Data Pipeline (aka Big Data Pipelines or Data Streams)
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- [AWS Data Pipeline](https://aws.amazon.com/datapipeline/)
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- [AWS Data Pipeline Documentation](https://docs.aws.amazon.com/data-pipeline/index.html)
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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) A No-Code Data Collections mechanism for Big Data Pipelines on AWS.
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- [AWS Big Data Blog: Category - AWS Data Pipeline](https://aws.amazon.com/blogs/big-data/category/analytics/aws-data-pipeline/)
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