22 February 2022
1:30pm SGT / 11:00am IST
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Get hands-on experience with building out an end-to-end ETL pipeline; from extracting & loading data from out-of-the-box source & target systems with connectors to transforming the data in real-time with ksqlDB all in Confluent Cloud. Learn how to:
- Stand up clusters for stream ETL data processingÂ
- Connect with source systems and target systems using Connectors
- Build your first streaming app on ksqlDB to build a data pipeline
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VIEWÂ Workshop Lab Guide/Prerequisite
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*Please note: a Confluent Cloud account is required for the lab session. Sign-up for an account here.
*Please note: a Confluent Cloud account is required for the lab session. Sign-up for an account here.
December 18, 2024
AMER Session: 10am PST // 1pm EST - WATCH ON DEMAND
EMEA Session: 10am GMT // 11am GMT+1 - WATCH ON DEMAND
Stream processing ensures continuous data analysis as it is generated, while machine learning, traditionally used in batch processing, is now increasingly applied to real-time scenarios. This combination is proving vital for modern applications like fraud detection and personalized recommendations in websites and mobile apps.
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Throughout this virtual workshop, our instructors will guide you step-by-step in building a predictive machine learning model using Confluent Cloud, Apache Flink® and Kafka to facilitate the creation and deployment of effective data pipelines for real-time analytics.
ps: Complete the pre-requisites prior to the virtual workshops as there are certain installations and account creations needed.
Once registered, you will receive an email with details about joining the event. If you do not receive this confirmation email, please click "Contact the Organizer" below to let us know.
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