As data volumes explode, data sources become more varied, and data streams accelerate, there is a growing desire to respond more quickly to emerging business opportunities. Whether we are talking about predictive machine maintenance, customer product recommendations, fraud detection, or cybersecurity protection, an increasing number of business-critical processes demand automated decisions in real time.
In this checklist, we explore the concept of hybrid transaction/analytical processing (HTAP), an alternative architecture that enables analytics to be performed in concert with transaction processing. We will present best practices for taking advantage of this alternative architecture to enable real-time analytics.
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