Category: aws glue
Data Protection: Security Mechanisms in AWS Glue
AWS Glue, a powerful data integration service, offers a range of security mechanisms to protect data assets. In this comprehensive…
Data Management: AWS Glue Data Catalog and Its Integration
In the realm of modern data architecture, the AWS Glue Data Catalog emerges as a cornerstone for organizing, cataloging, and…
Schema Evolution in AWS Glue: Best Practices and Implementation Strategies
Schema evolution, the process of managing changes to the structure of data over time, poses significant challenges in data integration…
Data Discovery in AWS Glue
Data discovery is a crucial first step in any data integration or analytics project. It involves identifying, profiling, and cataloging…
Understanding the Limitations of AWS Glue
AWS Glue is a fully managed extract, transform, and load (ETL) service provided by Amazon Web Services (AWS), designed to…
Data Serialization and Deserialization in PySpark with AWS Glue
Introduction to Data Serialization and Deserialization in PySpark Data serialization and deserialization are essential processes in PySpark, especially when working…
Optimizing data queries with AWS Glue and Amazon Athena
AWS Glue, a serverless data integration service, and Amazon Athena, an interactive query service, together offer a seamless solution for…
Mastering data partitioning in AWS Glue
This article explores how AWS Glue handles data partitioning during processing, supplemented by a real-world example. Understanding data partitioning in…
Ensuring data integrity with AWS Glue: A practical guide to data validation
In the world of big data, ensuring the accuracy and integrity of data during ingestion is paramount. AWS Glue, a…
Navigating job dependencies in AWS glue – Managing ETL workflows
AWS Glue manages dependencies between jobs using triggers. Triggers can start jobs based on the completion status of other jobs,…
