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Data Mesh Architecture: Revolutionizing Event Streaming with Striim

Striim

A data mesh is technology-agnostic and underpins four main principles described in-depth in this blog post by Zhamak Dehghani. The four data mesh principles aim to solve major difficulties that have plagued data and analytics applications for a long time.

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Changing face of real-time analytics

Rockset

This means new data schemas, new sources and new types of queries pop up every few days. Analysts predict that by 2025 more than 30% of data will be real-time in nature, and by 2022, more than half of major new business systems will incorporate continuous intelligence that uses real-time context data to improve decisions.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

It also performs better when dealing with large amounts of data since it can quickly scale up and down according to your needs. Finally, NoSQL databases are frequently used in real-time analytics applications, such as streaming data from IoT sensors. It also discusses several kinds of data.