Perform machine learning on streaming data with OCI Data Flow

To tackle predictive maintenance in manufacturing, fraud detection in financial services, or detect diseases early in healthcare, data engineers and data scientists need capabilities for real-time data processing from various sources—which is why OCI Data Flow now supports Spark Streaming. OCI Data Flow handles the heavy lifting of stream processing with Spark, along with the ability to perform machine learning on streaming data using MLLib.

Check out this webcast to discover:

• Different use cases for machine learning on streaming data
• How Spark Streaming in OCI Data Flow, a new feature, simplifies this process
• A demo of OCI Data Flow and Spark Streaming in action doing predictive maintenance for the manufacturing industry

Presented by:
Sujoy Chowdhury, Principal Product Manager, OCI
Sivanesh Selvanataraj, Senior Software Engineer, OCI

Presentation PDF here: https://community.oracle.com/customerconnect/events/603897-oci-perform-machine-learning-on-streaming-data-with-oci-data-flow

Docs: https://docs.oracle.com/en-us/iaas/data-flow/using/spark-streaming.htm
https://docs.oracle.com/en-us/iaas/data-flow/using/spark_oracle_datasource.htm

Training Dataset: https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/#turbofan

Sample code: https://github.com/oracle-samples/oracle-dataflow-samples

This video is from our weekly series of live OCI Community Webinars, created for and focused on our OCI customers. We offer technical deep dives, live Q&A with engineering and product management, first looks at recently launched services, and a regular OCI Fundamentals series. For more event replays, calendars of upcoming webinars, and forums for discussion, join us:
OCI Events Calendar: https://community.oracle.com/customerconnect/categories/events-oci
User Forums: https://community.oracle.com/customerconnect/categories/oci-cloud-infrastructure-general

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