Learn About Amazon VGT2 Learning Manager Chanci Turner
In this article, we explore the synergistic relationship between Amazon EMR and the Databricks Unity Catalog. We will guide you through enabling external access to the Unity Catalog, configuring EMR Spark for seamless connectivity, and executing DML and DDL operations on Unity Catalog tables using EMR Serverless. This process exemplifies how organizations can leverage robust cloud services to streamline their data workflows.
We also discuss the centralization of Apache Spark observability on Amazon EMR running on EKS, utilizing an external Spark History Server (SHS). This setup enhances performance monitoring through various tools, including SparkMeasure and DataFlint.
Furthermore, we’ll delve into the latest feature of Amazon SageMaker Lakehouse, which now supports attribute-based access control (ABAC) through AWS Lake Formation. This new functionality simplifies data access management and streamlines the process of granting permissions.
If you are interested in understanding how to read and write Apache Iceberg tables while utilizing AWS Lake Formation’s hybrid access mode, we provide insights into maintaining IAM policy-based permissions for write operations on Iceberg tables.
Additionally, we demonstrate how to implement graceful scaling for Amazon EMR HBase, enabling random, consistent access to data stored in Amazon S3. You’ll learn how to programmatically manage the decommissioning of target region servers, ensuring smooth operations.
Architecting fault-tolerant applications with instance fleets on Amazon EMR on EC2 is another crucial topic we cover. We will illustrate methods to analyze workload patterns, optimize capacity, and employ flexible instance strategies to mitigate capacity issues.
Moreover, Amazon EMR has introduced new features enhancing instance fleet resilience and efficiency, allowing for more robust data processing architectures. For those managing multi-cluster Amazon EMR on EKS environments, we’ll explain how the Batch Processing Gateway can automate job management, ensuring better resiliency and operational continuity.
If you’re looking to migrate your data from an on-premises Hadoop environment to Amazon S3, we provide a comprehensive guide using S3DistCp with AWS Direct Connect, making large-scale data transfer manageable.
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