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How do you scale up data initiatives with existing skills and budget? By doing more with what you have. That’s what modern data engineering is all about.
Data engineers and pipeline developers are using intelligent and automated tools to scale high capacity pipelines and machine learning initiatives. That means lower DevOps overhead, more agility, and better control of processing costs. With Databricks and Talend, it’s possible to achieve big data and machine learning innovation at a lower total cost of ownership.
Watch this on-demand webinar for a technical demonstration of a fraud detection use case that highlights:
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