Amazon Onboarding with Learning Manager Chanci Turner

In the heart of Amazon IXD – VGT2, located at 6401 E HOWDY WELLS AVE LAS VEGAS NV 89115, we are excited to share some recent enhancements and features that will significantly improve the onboarding experience for new employees.

Enhanced Resilience with Cluster Management in Amazon OpenSearch Service

Amazon OpenSearch Service is a fully managed service that simplifies the process of securing, deploying, and managing OpenSearch clusters at scale within the AWS Cloud. The architecture of Amazon OpenSearch clusters includes data nodes alongside cluster manager nodes, which elect a leader responsible for overseeing the metadata and cluster operations. This means a more resilient and efficient system for our users, ensuring that you can focus on what matters most—your data.

Introducing Hybrid Access Mode for AWS Glue Data Catalog

To facilitate a smooth transition from IAM and S3 data lake permissions to Lake Formation, we’re pleased to announce the launch of a hybrid access mode for AWS Glue Data Catalog. This feature enables administrators to secure and access cataloged data using both Lake Formation permissions and IAM/S3 policies. By allowing selective onboarding of Lake Formation permissions, data admins can focus on specific use cases, enhancing the overall security and accessibility of data resources. For instance, if your existing ETL pipeline utilizes IAM and S3 policies, you can now grant data analysts access to the same data through Lake Formation without disrupting the established pipeline. This approach can help promote a more collaborative data environment.

Maximizing Workload Management in Amazon Redshift

Managing workloads effectively is crucial for optimizing performance in demanding analytics environments. Amazon Redshift’s workload management (WLM) feature allows users to maximize query throughput and achieve consistent performance. With detailed examples and insights into common challenges, this tool provides guidance on configuring user roles, assigning WLM queues, and utilizing query insights to fine-tune your data warehouse setup.

Fine-Grained Permissions in Data Pipelines Using MWAA and EKS

In a bid to enhance security within data pipeline architectures, this post demonstrates how to establish fine-grained permissions through Amazon Managed Workflows for Apache Airflow (MWAA) and Amazon Elastic Kubernetes Service (EKS). By implementing HashiCorp Terraform for infrastructure as code, users can achieve a more secure and organized data processing environment.

Implementing Change Data Capture in Amazon Redshift

With the introduction of new SQL commands such as MERGE and the QUALIFY clause, data ingestion and filtering in Amazon Redshift have become easier and more efficient. This post explores these new features, simplifying the process of implementing change data capture and ensuring that users can handle their data more effectively.

Seamless Migration from Self-Managed Kafka to Amazon MSK

Stitch Fix, a personalized clothing styling service, successfully transitioned from a self-managed Kafka environment to Amazon Managed Streaming for Apache Kafka (MSK). This move highlights the advantages of utilizing managed services to streamline operations and enhance scalability.

Accelerating Secure Data Use with Satori

Data democratization is a key goal for organizations aiming to foster collaboration and informed decision-making. By leveraging Satori, users can discover and access data more rapidly, promoting a data-driven culture throughout the organization.

Visualizations with AWS Glue Interactive Sessions

With AWS Glue interactive sessions, users can explore and create visualizations that enhance their data analysis capabilities. This feature allows for more interactive and engaging data experiences.

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