Remove Architecture Remove Data Engineering Remove IoT
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These 7 Edge Data Challenges Will Test Companies the Most in 2025

VoltDB

Data Overload and Storage Limitations As IoT and especially industrial IoT -based devices proliferate, the volume of data generated at the edge has skyrocketed. Inconsistent network performance affecting data synchronization. Key issues include: A shortage of edge-native data engineers and architects.

IoT 52
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Stream Processing: How it Works, Use Cases & Popular Frameworks

Simform

Stream processing has become a core part of enterprise data architecture today due to the explosive growth of data from sources such as IoT sensors, security logs, and web applications. This blog discusses the topic of stream processing in detail to help you navigate its landscape with ease.

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Sustainability at AWS re:Invent 2022 All the talks and videos I could find…

Adrian Cockcroft

STP213 Scaling global carbon footprint management — Blake Blackwell Persefoni Manager Data Engineering and Michael Floyd AWS Head of Sustainability Solutions. SUS302 Optimizing architectures for sustainability — Katja Philipp AWS SA and Szymon Kochanski AWS SA. SUS209 — there was no talk with this code.

AWS 64
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Spice up your Analytics: Amazon QuickSight Now Generally Available in N. Virginia, Oregon, and Ireland.

All Things Distributed

The reality is that many traditional BI solutions are built on top of legacy desktop and on-premises architectures that are decades old. They require teams of data engineers to spend months building complex data models and synthesizing the data before they can generate their first report.

Analytics 123