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Back to Basics: Building an Efficient Data Lake 

Amazon Web Services
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The amount of data generated by IoT, smart devices, cloud applications, and social is growing exponentially. You need ways to easily and cost-effectively analyze all of this data with minimal time-to-insight, regardless of the data source. Join Orit as she dives deep into the basics of data lake and lake house patterns.
Additional Resources:
What is a Data Lake: aws.amazon.com...
Lake house architecture blogpost: aws.amazon.com...
Amazon Kinesis Data Firehose: docs.aws.amazo...
AWS Glue: docs.aws.amazo...
Amazon Athena: docs.aws.amazo...
Amazon QuickSight: docs.aws.amazo...
Amazon Redshift: docs.aws.amazo...
Check out more resources for architecting in the #AWS cloud:
amzn.to/3qXIsWN
#AWS #AmazonWebServices #CloudComputing #BackToBasics #DataLake

Опубликовано:

 

11 сен 2024

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Комментарии : 5   
@darshansharma_
@darshansharma_ 9 дней назад
To the point. Thanks for the video
@1.618Golden
@1.618Golden 11 месяцев назад
Very well explained! Thank you for the attention to detail on this.
@amazonwebservices
@amazonwebservices 11 месяцев назад
Thank you & glad you liked it! 😁 🙌
@stfztg3623
@stfztg3623 9 месяцев назад
Really good overview 👍
@amazonwebservices
@amazonwebservices 9 месяцев назад
Glad you liked it! 😍
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