As we step into 2025, the Amazon OpenSearch Service has enhanced its capabilities with the introduction of OpenSearch 2.17. This article reviews the advancements from 2024 and discusses how you can leverage new features to cut costs, reduce latency, and enhance the precision of your search results and generated text.
In another insightful piece, we delve into the design patterns for implementing the Hive Metastore (HMS) with EMR on EKS using Spark Operator. Each pattern offers unique benefits based on your specific needs. Whether you opt to deploy HMS as a sidecar container within the Apache Spark Driver pod, as a Kubernetes deployment in the data processing EKS cluster, or as an external HMS service in a separate EKS cluster, the main considerations revolve around communication efficiency, scalability, resource isolation, high availability, and security.
Furthermore, we examine how AWS customers can extend Amazon DataZone to handle streaming data, particularly Amazon Managed Streaming for Apache Kafka (MSK) topics. Developers and DevOps managers can utilize Amazon MSK, a widely-used streaming data service, to run Kafka applications and connectors on AWS without needing to master its operation.
In a real-world application, Prime Video enhanced its sports search functionality using the Amazon OpenSearch Service along with its AI and machine learning capabilities, creating a more intuitive search experience.
Additionally, during the AWS re:Invent 2024 conference held from December 2–6 in Las Vegas, significant announcements were made regarding analytics, aimed at helping businesses utilize their data more effectively and speed up insights. In light of this, it’s worth noting that Amazon Web Services (AWS) has been recognized as a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools, reflecting our commitment to innovation and excellence in data management solutions.
For those looking to build and operate data pipelines at scale, a programmatic data processing framework developed by Wipro can streamline ETL processes, integrating improved runtime for Apache Spark with AWS Managed services.
If you want to supercharge your RAG applications, our post details how to utilize Amazon OpenSearch Service alongside document ETL tools like Aryn DocParse to quickly construct applications that handle complex documents.
To deepen your understanding, you can check out this blog post on a related subject. Additionally, this resource offers valuable insights into the hiring practices at Amazon. For authoritative information on the topic, visit this link.
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