Big Data Cloud Efficiency IoT 
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.
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. Let’s take a closer look at today’s conventional streaming analytics architectures, which can be hosted in the cloud or on-premises.
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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.
Scalegrid
MAY 13, 2020
When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Greenplum features a cost-based query optimizer for large-scale, big data workloads. Query Optimization.
All Things Distributed
DECEMBER 13, 2016
The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption. The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes.
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. Cloud-native systems represent by far the largest, most distributed, computing systems in our history. PVLDB’20.
All Things Distributed
DECEMBER 12, 2018
In addition, we are working with the venture capital community, startup accelerators, and incubators to help startups grow in the cloud. Winning in this race requires that we become much more customer oriented, much more efficient in all of our operations, and at the same time shift our culture towards more lean and experimental.
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