Data Depths
Build the data foundation every ML project needs. Structure S3 data lakes, clean datasets with Glue DataBrew, run exploratory analysis with Athena, build ETL pipelines with Glue, and stream real-time features through Kinesis.
Missions in This Path
Build an S3 Data Lake with Versioning
Structure a production S3 data lake with versioning and lifecycle policies.
Clean Data with AWS Glue DataBrew
Build visual data cleaning pipelines with Glue DataBrew transforms.
SQL-Based EDA with Amazon Athena
Run exploratory data analysis on S3 data using Athena SQL queries.
Glue ETL Pipeline with Feature Engineering
Build ETL pipelines and engineer ML features with AWS Glue.
Real-Time Features with Kinesis Streaming
Stream and extract ML features in real-time with Amazon Kinesis.
Complete all missions to earn
Data Depths Explorer (Silver)
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