The current influx of data — structured, semi-structured, and unstructured — being driven by an array of data sources is fueling opportunities to leverage machine learning to extract insights and accelerate innovations that can transform businesses and industries. As these data volumes continue to rise, companies are struggling with the complicated task of managing this data and figuring out how to harness it for analytics and AI. By Vedant Jain, Denny Lee.
The article explains:
- What is Delta Lake?
- What is Amazon SageMaker Studio?
- Integrate SageMaker Studio with Delta Lake
- The benefits of connecting SageMaker Studio and Delta Lake
Delta Lake is an open-source storage framework that enables building a Lakehouse architecture with compute engines, including Spark, PrestoDB, Flink, Trino, and Hive, and APIs for Scala, Java, Rust, Ruby, and Python. Delta Lake is a great option for storing data in the AWS Cloud because it reads and writes in open-source Apache Parquet file format. This format makes it easy to write connectors from engines that can process Parquet. Nice one!
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