Mon. Dec 23rd, 2024
Hivemq Platform Provides Seamless Mqtt Data Lake Integration

HiveMQthe world leader in enterprise MQTT solutions, announced the general availability of HiveMQ Enterprise Data Lake Extension, which enables you to integrate MQTT data into your data lake.

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Building data models for machine learning, AI, and other advanced analytics initiatives requires large amounts of IoT data. HiveMQ Enterprise Data Lake Extension helps enterprises seamlessly integrate and move their data into data lakes such as Amazon, Google, Azure, Databricks, etc. provider. Integrating IoT data into a data warehouse enables enterprises to extract valuable insights for analytics, data engineering, and machine learning to drive impactful AI use cases.

“Enterprises are looking to derive better business insights and value from the data generated from IoT devices,” he said. dominique obermeyer, CTO and Co-Founder of HiveMQ. “Our data lake extensions enable data analysts and data scientists to quickly analyze information, giving businesses a competitive advantage beyond efficiency. It is meant to help you thrive.”

The new HiveMQ Enterprise Data Lake Extension helps you:

  • Seamlessly, efficiently, and at scale integrate IoT data into cloud storage via MQTT.
  • Optimize storage costs by bringing only the MQTT topics you need into cloud storage.

HiveMQ is the most trusted enterprise MQTT platform, purpose-built to connect everything via MQTT, communicate reliably, and control your IoT data. The platform can be deployed anywhere, on-premises or in the cloud, giving users the flexibility and freedom they need to evolve as their IoT deployments grow. The extensible platform provides seamless connectivity to major data streaming, database, and data analytics platforms, as well as custom SDKs that fit perfectly into any stack.

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HiveMQ enables businesses to transform using the most trusted MQTT platform. The HiveMQ MQTT platform is designed to connect, communicate, and control IoT data under real-world stress and is a proven enterprise standard with use cases such as automotive, energy, logistics, smart manufacturing, transportation, and more. strengthen. Leading brands such as Audi, BMW, Honeywell, Liberty Global, Mercedes-Benz, Siemens, and ZF rely on HiveMQ to build smarter IoT projects, modernize factories, and create better customer experiences. Selected.

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