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     new 53686c4827 New blog 12 19 (#7516)
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commit 53686c4827a804459641bb9d5d0606693c80a9ee
Author: nfarah86 <nfara...@gmail.com>
AuthorDate: Wed Dec 21 00:13:31 2022 -0800

    New blog 12 19 (#7516)
    
    * added new blog with assets
    
    * updated blog
    
    * updated author
    
    Co-authored-by: nadine <nfarah@nadines-MacBook-Pro.local>
---
 ...irst-Hudi-Lakehouse-with-AWS-Glue-and-AWS-S3.md |  49 +++++++++++++++++++++
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+---
+title: "Build Your First Hudi Lakehouse with AWS S3 and AWS Glue"
+excerpt: "Follow this tutorial on building your first hudi lakehouse with AWS 
S3 & AWS Glue"
+author: Nadine Farah
+category: blog
+image: /assets/images/blog/DataCouncil.jpg
+tags:
+- how-to
+- use-case
+- apache hudi
+- aws
+---
+
+![/assets/images/blog/DataCouncil.jpg](/assets/images/blog/DataCouncil.jpg)
+
+
+# Build Your First Hudi Lakehouse with AWS S3 and AWS Glue
+
+Soumil Shah is a Hudi community champion building [YouTube 
content](https://www.youtube.com/@SoumilShah/playlists) so developers can 
easily get started incorporating a lakehouse into their data infrastructure. In 
this 
[video](https://www.youtube.com/watch?v=5zF4jc_3rFs&list=PLL2hlSFBmWwwbMpcyMjYuRn8cN99gFSY6),
 Soumil shows you how to get started with AWS Glue, AWS S3, Hudi and Athena.
+
+In this tutorial, you’ll learn how to:
+-   Create and configure AWS Glue
+-   Create a Hudi Table
+-   Create a Spark Data Frame
+-   Add data to the Hudi Table 
+-   Query data via Athena
+
+![/assets/images/blog/build-your-first-hudi-lakehouse-12-19-diagram.jpg](/assets/images/blog/build-your-first-hudi-lakehouse-12-19-diagram.jpg)
+
+
+**Step 1**: Users in this architecture purchase things from online retailers 
and generate an order transaction that is kept in DynamoDB.
+
+**Step 2**: The raw data layer stores the order transaction data that is fed 
into the data lake. To accomplish this, enable Kinesis Data Streams for 
DynamoDB, and we will stream real-time transactions from DynamoDB into kinesis 
data streams, process the streaming data with lambda, and insert the data into 
the next kinesis stream, where a glue streaming job will process and insert the 
data into Apache Hudi Transaction data lake.
+  
+**Step 3**: Users can build dashboards and derive insights using QuickSight.
+
+## Getting Started
+
+To get started on building this data app, follow the YouTube video on
+[Build Datalakes on S3 and Glue with Apache 
HUDI](https://www.youtube.com/watch?v=5zF4jc_3rFs&list=PLL2hlSFBmWwwbMpcyMjYuRn8cN99gFSY6&;).
+
+Follow the the [step-by-step 
instructions](https://drive.google.com/file/d/1W-E_SupsoI8VZWGtq5d7doxdWdNDPEoj/view).
 
+
+  
+Apply the [code 
source](https://github.com/soumilshah1995/dynamodb-hudi-stream-project).
+
+## Questions
+
+If you run into blockers doing this tutorial, please reach out on the Apache 
Hudi community and tag **soumilshah1995** to help debug. 
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