SLIDES: Enabling Real-Time Business with Change Data Capture

File uploaded by slimbaltagi on Nov 15, 2017
Version 1Show Document
  • View in full screen mode

Slides of a joint webinar by MapR Technologies and StreamSets on November 14th 2017. 

 

"Machine learning (ML) and artificial intelligence (AI) enable intelligent processes that can autonomously make decisions in real-time. The real challenge for effective ML and AI is getting all relevant data to a converged data platform in real-time, where it can be processed using modern technologies and integrated into any downstream systems.

Running a business in real-time means being able to react to important business events as they happen. Applications that support day-to-day operations, however, are often scattered across the organization making it difficult to enable real-time movement of data.

In this session, MapR and StreamSets will discuss how change data capture (CDC) can be used to enable real-time workloads to drive success with ML and AI. You’ll see live demonstrations of technologies that enable CDC, and specifically learn how to:

  • Utilize change data capture (CDC) for efficient real-time data movement & processing
  • Connect your databases, data warehouses, and data lakes without code
  • Use MapR-DB as both source and destination for change data capture

Speakers: 

Audrey Egan , MapR Technologies

Rupal Shah, StreamSets

Outcomes