Partnership
better together: databricks + eot.AI
If you want to maximize the value of your SCADA and Historian systems with your Databricks data lake—without added complexity—you’re in the right place. Discover how to unlock AI, Machine Learning, and Data Science to drive smarter industrial operations and boost productivity.
Databricks + EOT.AI: better together for ML-Driven industrial operations
ABOUT DATABRICKS. The Databricks Data Intelligence Platform provides a unified, open, and scalable system purpose-built for modern industrial data challenges. With native support for real-time timeseries data and the ability to build, train, and deploy advanced ML models at scale, Databricks empowers manufacturers, energy producers, and process industries to turn raw data into predictive insights. Whether it’s anomaly detection, asset failure prediction, energy optimization, or quality control, Databricks enables faster experimentation, secure collaboration, and a cloud-native foundation for AI-driven operational excellence.
THE CHALLENGE. Industrial companies that want to use their Databricks Data Intelligence Platform as their system of record for hosting industrial operational data from their legacy SCADA and Historian systems have faced challenges implementing effective data pipelines that transfer historical and real-time operations data. While many options seem viable at first glance, they often involve intermediary cloud services or costly custom integration. These approaches result in technical debt, an inability to scale, difficulty to maintain, multiple points of failure, and worst of all, deliver “real-time” data in minutes, hours, and sometimes never arrives – instead of consistently arriving in milliseconds.
What If There’s A Better Way?
SOLUTION. EOT’s Twin Talk is an industrial software platform trusted by some of the largest energy companies today, transferring billions of time-series industrial data with millisecond latency directly into Databricks – without the use of any intermediary services or custom code. One that takes days – not weeks or months – to get fully scaled, deployed, and operational. One that gives you freedom by being open, reliable, secure, and faster than any other approach.
HOW EOT's Twin Talk WORKS
EOT’s Twin Talk offers a simple, secure, and scalable way to transfer operational data from PI/AF, SCADA, historians, OPC-UA, MQTT, and other industrial sources into Databricks. This platform has changed the way industrial companies manage data, enabling cloud-based, event-driven, real-time architectures, from data lakes to mobile monitoring and surveillance apps, while unlocking valuable insights through analytics, AI, and machine learning. It can do the same for you and your company.
EOT’s Twin Talk bridges the gap between operational systems (OT) and cloud (IT) solutions. With low-latency, real-time data transport, Twin Talk enables a proactive, preventative approach to analyzing operational data. By applying modern data science techniques to the Databricks Data Intelligence Platform, companies can achieve predictive insights, reduced downtime, and operational efficiencies.
Real-time Monitoring with Databricks: Keeping a Finger on the Pulse
EOT’s Twin Talk integration with Databricks enables continuous monitoring and analysis of data from machinery and systems. This real-time observation allows industrial companies to spot inefficiencies as they occur, from minor operational glitches to significant system failures.
PROCESS OPTIMIZATION: MAKING THE GOOD GREAT
EOT’s Twin Talk and Databricks allow for the optimization of industrial processes. By analyzing data, the integrated system identifies areas where processes can be streamlined, leading to increased productivity and reduced waste.
EFFICIENCY AND COST REDUCTION: THE BOTTOM LINE
Perhaps the most tangible benefit of integrating EOT’s Twin Talk with Databricks is the impact on operational efficiency and cost. By leveraging EOT’s expertise in resilient and scalable real-time data pipelines and Databricks AI-driven insights, industrial companies can achieve significant cost savings and value generation.
How the integration works
1. SQL Warehouse API
Twin Talk uses the SQL Warehouse API to execute SQL queries to insert data in Delta Lake. It’s ideal for handling structured time series data and supporting SQL-driven ETL processes, ensuring a scalable and efficient data architecture.
- Insert Data: Use SQL INSERT to load data into Delta Lake tables.
- Manage Tables: Programmatically create and modify tables for seamless scalability.
2. Delta Sharing & Delta APIs
Twin Talk uses Delta Sharing for large datasets, to ensure efficient data ingestion and sharing, leveraging Delta Lake’s ACID transactions for consistency and scalability.
- Data Ingestion: Append, update, or delete records with Delta APIs, ensuring data integrity.
- Scalability: Ideal for large-scale, continuous data ingestion of AF and PI data.
Common applications built with EOT’s Twin Talk and Databricks:
- Predictive Maintenance
- Resource Management and Process Optimization
- Production Efficiency and Quality Control
- Asset Performance and Production Optimization
Why customers use EOT’s Twin Talk
Twin Talk, available across all three major clouds (AWS, Azure, and GCP), delivers immediate impact for operators, data scientists, business analysts, and digital transformation executives. Embracing a simple, scalable, and secure data access strategy offers significant benefits, including:
Avoid POC Purgatory
Twin Talk reduces the time required to move from proof of concept (POC) to a functional system, shrinking deployment cycles to just a few days. By securely connecting your Databricks predictive analytics and operational efficiency applications to your data, you eliminate critical barriers.Scale from Pilot to Production
With Twin Talk’s “no touch” externalization of identity and access management, scaling your solution from pilot to full production across geographic, logical, and organizational boundaries becomes seamless.Deliver Value Faster
Twin Talk allows AI experts and data scientists to securely test-drive more AI, ML, and analytics solutions, helping them find the best tools to deliver transformative value quickly.Make Sense of Data
Twin Talk understands operational data models and formats, translating and enriching them into formats easily consumed by cloud-based analytics, machine learning, and AI algorithms in real time.
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Click to download the Twin Talk - Databricks configuration Manual
