From 5305547dfb5da24e9d7f55ec1ac842d24e6dda86 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" <41898282+github-actions[bot]@users.noreply.github.com> Date: Sun, 12 Jul 2026 21:09:02 +0000 Subject: [PATCH] chore: update docs/aws-data.md [20260712-2103] --- docs/aws-data.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/aws-data.md b/docs/aws-data.md index 679d4e21..bc1e1ed4 100644 --- a/docs/aws-data.md +++ b/docs/aws-data.md @@ -6,15 +6,15 @@ ## Introduction -- [aws.amazon.com/big-data](https://aws.amazon.com/big-data) -- [blogs.aws.amazon.com/bigdata](https://blogs.aws.amazon.com/bigdata) +- [aws.amazon.com/big-data](https://aws.amazon.com/big-data/datalakes-and-analytics) +- [blogs.aws.amazon.com/bigdata](https://aws.amazon.com/blogs/big-data) - [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](https://blogs.aws.amazon.com/bigdata/post/Tx2D93GZRHU3TES/Using-Spark-SQL-for-ETL) +- [Using Spark SQL for ETL](https://aws.amazon.com/blogs/big-data/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/datalakes-and-analytics/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. +- [Building a Data Lake on AWS](https://aws.amazon.com/big-data/datalakes-and-analyticsdata-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)