This post is mainly for getting started with Delta Lake using Apache Spark + Scala programming language on Spark Shell, so let's start.
I choose Apache Spark: 3.5.0, Scala 2.12, and Delta Lake: 3.1.0, so if you don't have these versions on your local machine, then let's get installed first and jump to the below spark-shell commands.
Let's create a small dataset to explore how we can ingest that into a data lake table with ACID properties. This approach is applicable across various cloud providers such as AWS, GCP, or Azure. Have you ever thought about how open-source storage frameworks like Apache Hudi, Delta Lake, and Apache Iceberg efficiently handle petabyte-scale data stored in AWS S3 or GCP Cloud Storage buckets? How should we efficiently utilize the concept of prefixes in the AWS S3 or cloud storage of CGP?
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