To get the most out of this book
Basic knowledge of SQL, Python programming, and Spark is required to get the most out of this book. Delta is open source and can be run both on-prem and in the cloud. Because of the rise in cloud data platforms, a lot of the descriptions and examples are in the context of cloud storage.
Use the following GitHub link for the Delta Lake documentation and quickstart guide to help you set up your environment and become familiar with the necessary APIs: https://github.com/delta-io/delta.
Databricks is the original creator of Delta, which was open sourced to the Linux Foundation and is supported by a large user community. Examples in this book cover some Databricks-specific features to provide a complete view of features and capabilities. Newer features continue to be ported from Databricks to open source Delta. Please refer to the proposed roadmap for the feature migration details: https://github.com/delta-io/delta/issues/920.
If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book's GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.
