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Top-Paying Data Engineer Jobs in Singapore [2023 Updated]

Knowledge Hut

Some of the most common responsibilities of data engineers include Data collection Matching the architecture to the business his needs Discovering tasks that can be automated using data Using advanced analytics programs, machine learning, and statistical techniques Updating stakeholders based on analytics Architecture development, building, testing, (..)

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What is Real-time Data Analytics and Why is it Important?

Knowledge Hut

Real-time data analytics is an essential innovation that enables companies to act quickly on data. By this year, more than half of business systems would base choices on current context data. This demonstrates the rising significance of real-time analytics architecture in the hectic corporate climate of today.

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Data Engineering Weekly #107

Data Engineering Weekly

link] Uber: Uber Freight Near-Real-Time Analytics Architecture Uber writes about its Uber Fright architecture highlighting how it archives data freshness, latency, reliability, and accuracy. The blog narrates the design of the data collection, modeling & visualization layers.