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OnlineAnalyticalProcessing (OLAP) is crucial in modern data-driven apps, acting as an abstraction layer connecting raw data to users for efficient analysis. It organizes data into user-friendly structures, aligning with shared business definitions, ensuring users can analyze data with ease despite changes.
The data warehouse is highly business critical with minimal allowable downtime. A successful migration can be accomplished through proactive planning, continuous monitoring, and performance fine-tuning, thereby aligning with and delivering on businessobjectives. We hope this post provides you with valuable guidance.
Like Pinot, StarTree addresses the need for a low-latency, high-concurrency, real-time onlineanalyticalprocessing (OLAP) solution. In addition, StarTree offers a managed experience for real-time and batch Pinot workloads, offering enhanced security, automated data ingestion, tiered storage, and off-heap upserts.
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