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Auto ML on Big Query
Technology Deep Dive, hosted by member organisation Celfocus.
During this session, an approach to Fast AI development with BigQuery ML and GCP will be showcased with a use case of Feed monitoring combined with AI/ML algorithms to identify anomalies on the data ingested.
The challenge to overcome would be the lack of visibility on the quality of the data sources which usually undermines the analysis work.
The solution technique would be to detect and remediate data quality issues in the data sources by using ML algorithms to predict the expected volumes for each source in each day. Based on the predictions and the real data income generate alarms.
With this type of approach, the end game is to Increase Customer satisfaction as well as data quality visibility while decreasing MTTD / MTTR.
Topics Covered:
Suitable for:
Anyone whose daily activities are related with Data, such as Data Analysts & Engineers, Data architects, Data scientists, BI analysts
“Osmar Silva is a Data Engineering Specialist with 15+ years' IT experience, with Python & Java proficiency. Lately has been specializing in BigQuery, Composer and DataProc, refining His GCP expertise.
Currently performs as "Vodafone Analytics" Technical Lead in Portugal, leveraging telco data for insightful geographic analyses.”
This masterclass is part of our ‘Technical Deep Dive Masterclass’ series delivered by our member organisations on a monthly basis. If you or your organisation would like to run your own masterclass for the benefit of our community, please get in touch.
