We are excited to announce the introduction of Terraform support for Amazon OpenSearch Ingestion. Terraform, an infrastructure as code (IaC) tool, empowers users to efficiently build, deploy, and manage cloud resources. Amazon OpenSearch Ingestion serves as a fully managed, serverless data collector, facilitating the real-time delivery of log, metric, and trace data to Amazon OpenSearch Service domains and Amazon OpenSearch Serverless collections.
In addition, we are also launching support for Apache Airflow version 2.8.1 within Amazon Managed Workflows for Apache Airflow (Amazon MWAA). This managed orchestration service simplifies the setup and operation of comprehensive data pipelines in the cloud, allowing organizations like C2i Genomics to enhance their business workflows through effective data orchestration.
If you are considering migrating to Amazon OpenSearch Serverless, our latest insights guide you through the process using Amazon OpenSearch Ingestion. This on-demand, auto-scaling configuration has generated significant interest since its release, with customers preferring to let the service handle capacity management automatically.
Moreover, we delve into how the Bluestone Data Platform successfully adopted a data mesh strategy to thrive in the competitive financial landscape. Their journey to modernize data infrastructure emphasizes the importance of real-time, reliable, and centralized data for organizations today.
For those looking to integrate advanced search functionalities with Amazon Keyspaces data, we present a comprehensive guide on utilizing AWS Lambda and Amazon OpenSearch Ingestion. This post includes a reference architecture, detailed setup instructions, and sample code to facilitate implementation.
To further enhance your data analytics capabilities, we explore how to simplify streaming ingestion into Amazon Redshift from Amazon MSK and Kinesis Data Streams, eliminating the need for staging data in Amazon S3. Additionally, learn how to combine AWS Glue with Amazon MWAA for advanced VPC selection and failover strategies, ensuring robust data integration while meeting stringent security requirements.
Lastly, we address the challenge of schema changes in analytics pipelines using Amazon Redshift Spectrum, enabling seamless data integration from various IoT sensors. Also, we streamline authentication processes with native LDAP integration on Amazon EMR, making it easier for organizations to manage corporate identities.
For more insights on these topics, check out this blog post and learn from experts who are authorities in the field, like those found here. Additionally, if you’re interested in leadership development training, visit this resource for excellent opportunities.
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