Architecture Big Data Cloud IoT 
Scalegrid
MAY 13, 2020
In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.
Dynatrace
JULY 6, 2020
With cloud deployments growing rapidly during the past few years and enterprise multi-cloud environments becoming the norm, new challenges have emerged, including: Cloud dynamics make it hard to keep up with autoscaling, where services come and go based on demand. See the health of your big data resources at a glance.
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The Morning Paper
OCTOBER 26, 2020
Helios: hyperscale indexing for the cloud & edge , Potharaju et al., On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. These two narratives of reference architecture and ingestion/indexing system are interwoven throughout the paper. PVLDB’20.
ScaleOut Software
JULY 19, 2021
We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives.
All Things Distributed
JUNE 26, 2016
Examples of continuous sensing are found in the managed cloud platform built by Rachio on AWS IoT to enable the secure interaction of its connected devices with cloud applications/other devices. Advanced problem solving that connects big data with machine learning. In addition, Change Healthcare.
ScaleOut Software
JUNE 15, 2020
thousands of data sources. Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.
ScaleOut Software
JUNE 15, 2020
thousands of data sources. Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.
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