Combining Change Data Capture with Streaming to Drive AI-Powered Real-Time Analytics

AI Is Only as Good as Its Data—Make Yours Real-Time

AI-driven decision-making demands up-to-the-second data. But traditional batch processing creates bottlenecks, leaving businesses reacting to outdated information. Change Data Capture (CDC) and real-time streaming are the foundation of AI-powered analytics, ensuring data is always fresh, accurate, and actionable—without disrupting operational systems.

This whitepaper breaks down the fundamentals of CDC and streaming, providing a technical deep dive into real-time data architectures that power AI, machine learning, and intelligent automation.

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What's Inside?

The Building Blocks of Real-Time AI

  • CDC Explained:  Understand the four primary CDC methods (Audit Columns, Table Deltas, Triggers, Log-Based CDC) and why log-based CDC is the industry standard for AI-driven real-time data.
  • How Streaming Works:  Discover the 8 essential components of stream processing, including event-driven architectures, message brokers like Kafka & Kinesis, stateful processing, and fault tolerance mechanisms.
  • The Power of CDC + Streaming:  Learn how businesses capture, process, and analyze live data using staging layers, append-only models, and AI-driven analytics to fuel continuous intelligence.

What You’ll Learn

  • Supercharge AI models with real-time data:  Provide AI with up-to-the-second insights to improve predictions and drive smarter decisions.
  • Power agentic AI frameworks:  Enable AI systems to operate autonomously by continuously ingesting and responding to real-time data.
  • Adapt operations with AI-powered agility:  Real-time processing enables immediate responses to market shifts, customer behaviors, and operational changes.
  • Deliver hyper-personalized experiences:  AI leverages real-time streams to create tailored interactions that enhance engagement and satisfaction.
  • Streamline critical processes:  From fraud detection to predictive maintenance, AI acts on live data to mitigate risks and improve outcomes.

Who Should Read This?

This whitepaper is essential for:

  • AI & Data Leaders:  Build AI strategies that rely on real-time data instead of outdated batch processing.
  • IT & Engineering Teams:  Learn how to architect scalable, low-latency real-time data pipelines.
  • Business Executives:  See how AI-powered real-time insights drive revenue, mitigate risk, and enhance customer experiences.

Future-Proof Your AI Strategy with Real-Time Data

The future of AI isn’t just about more data—it’s about real-time data. Businesses that can capture, process, and act on information as it happens will lead their industries, outpace competitors, and redefine customer expectations.

Download the whitepaper now to discover how to build a real-time AI-powered future.