Getting Started with Apache Hudi using DBT and Spark Backend with Glue Hive Metastore Locally in Minutes
In his recent blog post, titled "Getting Started with Apache Hudi using DBT and Spark Backend with Glue Hive Metastore Locally in Minutes," Soumil Shah, a Lead Data Engineer with expertise in AWS, ELK, DynamoDB, and Apache Hudi, provides a comprehensive guide for setting up a local environment to run Apache Hudi with Spark as the backend, DBT for analytics, and AWS Glue Hive Metastore. The step-by-step instructions include creating an AWS Glue profile, editing Docker Compose files, starting a Docker container with Jupyter and Spark, and configuring DBT dependencies. By following these steps, users can establish a powerful stack for exploring and analyzing data locally. Soumil Shah encourages customization of the setup based on specific requirements, allowing individuals to harness the capabilities of Apache Hudi for data versioning, Spark for processing, DBT for analytics, and Glue Hive Metastore for efficient metadata management.
For those interested in exploring Shah's detailed instructions, the blog post promises a hands-on approach to empower data exploration and manipulation using cutting-edge data technologies. The setup encompasses the integration of Apache Hudi, Spark, DBT, and AWS Glue Hive Metastore, providing a robust foundation for data analysis
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December 24, 2023