WHITEPAPER - 6 Principles of Modern, Multi-Modal Change Data Capture | Equalum & EMA

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EXECUTIVE SUMMARY

Older data ingestion technology originally built for on-premises batch processing cannot keep up with the speed, agility, and reliability required for modern, real-time applications. Additionally, the move to SaaS applications and the cloud requires new approaches to change data capture, data lake ingestion, and data warehouse management.



THE CRITICALITY OF REAL-TIME RESPONSE

In the post-COVID-19 business environment, digital capabilities will define the future. Global lockdowns and stay-at-home orders put every organization to the test. Many leaders grew tired of the term “digital transformation” and claimed it was old news. However, within a week of the shutdown, every digital business model either failed or proved its resiliency in the new marketplace. As a result, organizations are looking for ways to put instantaneous intelligence in the hands of more of their workforce to continually improve business outcomes.



IN THIS REPORT we will cover:

  • 6 Principles of Modern, Multi-Modal Change Data Capture
  • Potential of Enriching and Auditing Data Streams
  • A checklist for modern, multi-modal CDC
  • Modern, Multi-Modal CDC vs. Modern CDC
  • Modern, Multi-Modal CDC vs. Legacy CDC and Integration
  • Modern, Multi-Modal CDC vs. Do-It-Yourself




6 Principles of Modern, Multi-Modal Change Data Capture

Equalum & EMA

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