Sold by: Ehrenmueller AI
Scalable Data Lakehouse architecture that centralizes IoT, ERP, and enterprise data using open-source technologies.
Overview
The Ehrenmüller Data Lakehouse is a scalable, future-proof data architecture designed to consolidate siloed data from IoT devices, ERP systems, and other enterprise sources into a single, high-performance platform — deployable on AWS infrastructure.
Built on a modern open-source technology stack, the solution integrates both structured and unstructured data, storing them in efficient formats such as Apache Parquet on Amazon S3 or within the Hadoop Distributed File System (HDFS) running on Amazon EMR. The cluster architecture separates management nodes from powerful DataNodes responsible for compute-intensive processing and storage, ensuring flexible scalability as data volumes grow. AWS Glue can be used to automate data cataloging and ETL pipeline orchestration across all connected sources.
The analytics layer leverages Apache Spark — natively supported on Amazon EMR — and Grafana to deliver dramatically faster query performance, reducing database query times from minutes to seconds. Amazon Athena can further enable serverless querying directly on your data lake. This enables real-time dashboards, advanced reporting, and AI-driven analytics with full data sovereignty.
Key capabilities include automated data pipeline integration using AWS Glue or AWS Lambda, support for additional data sources including video and image data stored in Amazon S3, and a robust foundation for current and future AI applications powered by Amazon SageMaker for model training and deployment. AWS IoT Core can be leveraged to stream and manage data from connected IoT devices directly into the platform.
Ehrenmüller brings highly qualified AI experts, individualized AI development, and proven references from mid-market enterprises across manufacturing, food production, medical technology, and mechanical engineering. From initial proof of concept through production deployment, the team delivers end-to-end implementation of data and AI solutions tailored to your specific business requirements.
Highlights
- Reduces database query times from minutes to seconds using Apache Spark analytics on centralized enterprise data
- Open-source technology stack with Apache Parquet and HDFS ensures vendor independence and full data sovereignty
- Open-source technology stack with Apache Parquet and HDFS ensures vendor independence and full data sovereignty
Details
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Delivery method
Deployed on AWS
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Support
Vendor support
Ehrenmüller AI provides support through their Customer Relationship Management team. For initial inquiries and coordination of next steps, you can reach the team via phone or email. Online appointment booking is also available for scheduling consultations: