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ML meets NoSQL: Integrating Python user-defined functions (UDFs) with N1QL for analytics

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Big Data and AI Toronto 2021 - Technology conference stage
Speaker: Luke DeBruin, Sr Solutions Engineer @ Couchbase
With the release of Couchbase Server 7.0, we’re excited to launch a new feature that you can explore in Developer Preview mode: integration of Python UDFs with Couchbase Analytics. Machine learning has radically transformed the ways in which organizations understand their customer’s needs. Advanced analytics domains like predictive analytics (customer churn, customer sentiment, etc.) and financial modeling are growing more reliant on processing data at scale and extracting valuable insights from it. After conversations with our customers about the delay in obtaining analytical insights from their Python-based machine learning models, we set out to create a seamless pipeline from Python to Analytics that returns faster insights in real time.
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Speaker: Luke DeBruin, Sr Solutions Engineer @ Couchbase
With the release of Couchbase Server 7.0, we’re excited to launch a new feature that you can explore in Developer Preview mode: integration of Python UDFs with Couchbase Analytics. Machine learning has radically transformed the ways in which organizations understand their customer’s needs. Advanced analytics domains like predictive analytics (customer churn, customer sentiment, etc.) and financial modeling are growing more reliant on processing data at scale and extracting valuable insights from it. After conversations with our customers about the delay in obtaining analytical insights from their Python-based machine learning models, we set out to create a seamless pipeline from Python to Analytics that returns faster insights in real time.
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Connect with us on social media:
Join our newsletter to stay up to date with our events: