![]() ![]() ![]() The patch version will be incremented for updates to the AWS Glue libraries of a major release. is the patch version, and 01 is the image version. In this name, 1.0 is the AWS Glue major version. The tags of the new images will follow the following convention: glue_libs_ _image_. The AWS Glue team will release new images for various AWS Glue updates. We have also bundled Jupyter and Zeppelin notebook servers in the image so you don’t have to configure an IDE and can start developing AWS Glue code right away. The image has AWS Glue 1.0, Apache Spark, OpenJDK, Maven, Python3, the AWS Command Line Interface (AWS CLI), and boto3. We have used these libraries to create an image with all the right dependencies packaged together. The AWS Glue team released the AWS Glue binaries and let you set up an environment on your desktop to test your code. AWS Glue comes with many improvements on top of Apache Spark and has its own ETL libraries that can fast-track the development process and reduce boilerplate code. AWS Glue is built on top of Apache Spark and therefore uses all the strengths of open-source technologies. In this post, we focus on writing ETL scripts for AWS Glue jobs locally. In the fourth post of the series, we discussed optimizing memory management. AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load your data for analytics. ![]()
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