AWS Serverless Data Lake Architecture

#AWS
What AWS services can be leveraged to build a data lake on aws through a serverless architecture is what this video will cover. The video is broken down into its various components including data ingestion, storage, transformation, data cataloging, and analytics.

Relevant Resources:

Citations
-Photo by dirk von loen-wagner on Unsplash

timestamps:
00:00 Introduction
01:07 Data Source Layer
01:29 Data Ingestion
02:52 Storage
03:19 Transformation
04:28 Data Catalog
05:12 Serverless Data Analysis
06:18 Pipeline Orchestration
07:28 Logging
7:53 Lake Formation

[StephenRayner]

Would love to see a whole playlist on setting up a serverless data lake with local development. With data coming from DynamoDB, permissions managed with. Lake house, processed with Glue jobs and query the data from Athena

[kannanlg]

Thanks for the video. I have 2 (newbie) questions:
1. How is this a serverless?
2. Where do all these AWS services reside? Inside an EC2 instance?

[sjvr]

Great Introduction, can you pls create a set full length videos or full 10 hours or less I mean a use case for insurance data to build a data lake video

[samerabusaleh]

If you needed to reprocess data in your raw zone to your process zone how would you do that? Is there a video on reprocessing data in a serverless data lake?

[ravidawade]

Are you saying directly ingest data into glue from source and then storing data in s3

[ravidawade]

How can i directly ingest data in glue from source, is it necessary to first store data in s3 and then Giving the path of s3, is there any way that i can directly ingest data into glue