VoltDB
DECEMBER 11, 2024
Data Overload and Storage Limitations As IoT and especially industrial IoT -based devices proliferate, the volume of data generated at the edge has skyrocketed. Key issues include: A shortage of edge-native data engineers and architects. High costs of training and retaining talent.
DZone
JANUARY 13, 2023
However, in recent years there has been an exponential increase in the amount of data that connected systems produce, which has brought about a need for new ways to store and analyze such information.
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All Things Distributed
OCTOBER 7, 2015
While BI solutions have existed for decades, customers have told us that it takes an enormous amount of time, engineering effort, and money to bridge this gap. These solutions lack interactive data exploration and visualization capabilities, limiting most business users to canned reports and pre-selected queries.
Simform
FEBRUARY 14, 2023
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.
All Things Distributed
NOVEMBER 15, 2016
They require teams of data engineers to spend months building complex data models and synthesizing the data before they can generate their first report.
Adrian Cockcroft
FEBRUARY 13, 2023
STP213 Scaling global carbon footprint management — Blake Blackwell Persefoni Manager Data Engineering and Michael Floyd AWS Head of Sustainability Solutions. This is the AWS Professional Services built tooling that customers can use to track the carbon footprint of their operations and processes, along with a customer example.
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