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Data Engineering for Streaming Data - How to ensure data quality?

About This Webinar

Join the Crosser webcast and learn more about how to ensure data quality for event-driven data pipelines. Explore the benefits of a flexible low code platform built for streaming data use cases, from edge to cloud.

In this webinar, dedicated to enterprise data simplicity, Crosser CTO, Dr. Göran Appelquist will walk you through the necessary steps to ensure data quality for streaming enterprise integrations. Learn how to validate data, parse formats and trigger actions when implementing your projects.

Welcome to Crosser Webcast - where Intelligent Integrations meet Enterprise Data.

Agenda
  • Streaming data pipelines - Why and How?
  • Common issues with data quality, such as: Value, Structure, Timing, Statistics and Format Validation
  • How to ensure data quality for event-driven data pipelines
  • Q&A
Who can view: Everyone
Webinar Price: Free
Featured Presenters
Webinar hosting presenter Elena F
Marketing Manager
Webinar hosting presenter Göran Appelquist (
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.
Hosted By
Crosser Webcasts webinar platform hosts Data Engineering for Streaming Data - How to ensure data quality?
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.
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