The amount of data generated by IoT, smart devices, cloud applications, and social is growing exponentially. You need ways to easily and costeffectively analyze all of this data with minimal timetoinsight, 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: https://aws.amazon.com/bigdata/datal...
Lake house architecture blogpost: https://aws.amazon.com/blogs/bigdata...
Amazon Kinesis Data Firehose: https://docs.aws.amazon.com/firehose/...
AWS Glue: https://docs.aws.amazon.com/glue/late...
Amazon Athena: https://docs.aws.amazon.com/athena/la...
Amazon QuickSight: https://docs.aws.amazon.com/quicksigh...
Amazon Redshift: https://docs.aws.amazon.com/redshift/...

Check out more resources for architecting in the #AWS cloud:
http://amzn.to/3qXIsWN

#AWS #AmazonWebServices #CloudComputing #BackToBasics #DataLake