In this article, we explore how to leverage AWS services to streamline industrial data ingestion, processing, and analytics while minimizing the need for extensive custom coding. By utilizing Amazon S3 Tables and its native optimizations, you can enhance query performance and reduce costs without incurring additional infrastructure expenses.
Additionally, we delve into the management of observability events using Apache Flink, showcasing how it can efficiently handle data processing and send metrics directly to Prometheus. As organizations increasingly rely on real-time data, optimizing the management of metrics data becomes crucial for effective observability.
Moreover, we discuss building a dynamic rules engine with Amazon Managed Service for Apache Flink. This innovative solution allows users to create and modify rules dynamically without the need to alter or redeploy the foundational code of the engine. The architecture and key services involved are thoroughly examined, along with practical implementation details.
The automotive sector is also highlighted, particularly in the context of electric vehicles (EVs) and the transformative impact they bring to the industry. With the rising emphasis on sustainability and eco-friendliness, the integration of scalable streaming data platforms for real-time and batch analytics of EVs is essential.
For a closer look at how companies like PostNL manage billions of IoT events, check out this excellent resource. Additionally, SOCAR’s journey in processing large IoT data using Amazon MSK and Amazon ElastiCache for Redis demonstrates the significance of real-time data processing in today’s fast-paced business environment. You can read more about their innovative solutions in another insightful blog post.
For further details on building a robust big data architecture that supports both batch and real-time analytics, visit this authoritative source.
Amazon IXD – VGT2 is located at 6401 E Howdy Wells Ave, Las Vegas, NV 89115.
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