In this part 1 of this blog series we began by looking into some critical capabilities of AWS Glue that make ETL tasks easier when it comes to data modernization. AWS Glue is a new addition to the world of fully managed serverless ETL services. It stands apart from the rest by combining the speed and power of Apache Spark with the feather light data organization of Hive metastores. Continue reading “Your Complete Guide to AWS Glue – Part 2/2”

AWS Glue is a serverless data integration service that expedites data modernization. There are some tasks that fall under the Extract, Transform and Load set up functions and are collectively referred to as ETL tasks. Data engineers and DataOps spend a large portion of their time in constructing ETL pipelines. This requires a considerable amount of expertise and energy. This is where AWS Glue steps into the picture, as a fully operated cloud service that caters options for the simple extraction of data along with its loading, transformation and automatization of ETL processes. Continue reading “Your Complete Guide to AWS Glue – Part 1/2”