What is Lake House and why it matters | AWS Events

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Watch this video for many real-life examples of how to benefit from a Lake House architecture. You will learn how to 1/ store & catalog PBs of data in a secure data lake, 2/ catalog metadata in a central place, 3/ extract data insights by using any of the multiple analytics engines and AI/ML services.
Also, jump to a specific topic in the video by forwarding to the corresponding timestamp.
2:45 Fast food restaurant example
6:40 Lake House Architecture
7:15 Lake House Architecture Critical Capabilities
10:30 Real Estate company example
15:05 Aviation company example
20:00 EPIC games example
24:05 Data Security and Compliance with Data Mesh
30:42 Serverless & Federated Queries


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How is this lakehouse, its still same architecture with data lake and data warehouse and etl performed??

ankitmaloo
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The data rate of FAA Swim Data is 5000 rec per minute and is that considered massive ? or I misheard it ?

MrSravan
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I really like the Aviation Case, which is as similar as what I am dealing with now. Hope to get a connection with presenters for a further advice

namhoanghoai
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Not one line on what is "lake house"
You can use this that bla, but what exactly is the service or entity you call lake house

unitycatalog
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What are the latencies one gets when using EMR for real time ?

unitycatalog
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why not talk about data lineage ? data quality ? it is also a big issue with data silos

dbatexas
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Pretty sure there is no connector between Grafana and DynamoDB as shown in your diagram. You are gonna need a third party connector $$ for that.

steveb
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Lakehouse.. Where is lakehouse here.. All blah blah

nithints