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How to Simplify SQL integration for Industrial Data
About This Webinar
Learn how to stream your IIoT data into any SQL database with the Crosser Low Code Platform.
Sending data to SQL servers and databases is a central operation for any IT or IoT project. In this webinar, Crosser CTO, Dr. Goran Appelquist will walk you through how to radically simplify SQL integration and operations for industrial data.
Discover how to stream single records, batch data or even data from files into your SQL environment without any SQL knowledge. Learn how to trigger stored procedures and use SQL statements for more complex queries.
Welcome to Crosser Webcast - Where Intelligent Integrations meet Enterprise Data
Agenda
- Introduction to Crosser’s pre-built connectors for various SQL databases
- Understand Edge to SQL integrations
- Learn how to stream any data in and out of your SQL environment
- Understand how to trigger stored procedures and use SQL statements in the Crosser Low Code environment
Who can view: Everyone
Webinar Price: Free
Featured Presenters
CTO
My career started in the academic world where I got a PhD in physics by researching large scale data acquisition systems for physics experiments, such as the LHC at CERN. After leaving academia I have been working in several tech startups in different management positions over the last 20 years. In most of these positions I have stood with one foot in the R&D team and another in the product/business teams. My passion is learning new technologies, use it to develop innovative products and explain the solutions to end users, technical or non-technical.
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In a length of a coffee break, Crosser Webcasts will serve you insights and demos regarding Stream Analytics & Integration technologies, use cases and business cases.
For those who don't have time for coffee, we suggest you sign up for the webcast of your interest to get access to the recording afterwards.
For those who don't have time for coffee, we suggest you sign up for the webcast of your interest to get access to the recording afterwards.
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