Building A Real-Time Decision Engine Using ML On Apache Spark Structured Streaming

Discover how Qubole is revolutionizing real-time data processing and analytics with our latest webinar, “Real-Time Decision Making with Structured Streaming and Machine Learning”. Join Garin Stabl, a senior data engineer with extensive experience in Apache Spark and real-time machine learning applications, as he dives into creating a dynamic decision engine utilizing Qubole’s robust data platform.

What You’ll Learn:

Introduction to Structured Streaming in Spark 2.3:
- Understand the new capabilities of joining streams and continuous processing for millisecond latency in data analysis.
Developing a Real-Time Decision Engine:
- Learn the steps to build a decision engine that leverages structured streaming and machine learning for instant data-driven decisions.
Schema Management and Data Flattening:
- Explore techniques for managing complex data schemas and transforming nested JSON into a streamlined format for easier processing.
Real-Time Data Joining and Processing:
- Discover how to join streams effectively, manage data watermarking for stream processing, and apply machine learning models in real time.
Deployment Strategies and Scalability:
- Gain insights into deploying streaming applications on Qubole, ensuring durability, and scaling your applications efficiently.
Impact on Business and Customer Experience:
- See how real-time processing can dramatically improve business outcomes and enhance customer experience by making immediate adjustments based on data insights.

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