Analytics Design Healthcare Scalability 
Scalegrid
MAY 13, 2020
Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. Greenplum Architectural Design. Greenplum Advantages.
Percona
AUGUST 17, 2023
It’s used for data management (shocker), application development, and data analytics. Data analytics: With the right extensions and configurations, PostgreSQL can support analytical processing and reporting. Healthcare organizations: PostgreSQL is used to store patient records, medical history, and other healthcare data.
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High Scalability
DECEMBER 18, 2018
pMD is a fast growing , highly rated health care technology company that has been recognized as a Best Place to Work by SF Business Times, Modern Healthcare, and Inc. For heads of IT/Engineering responsible for building an analytics infrastructure , Etleap is an ETL solution for creating perfect data pipelines from day one.
ScaleOut Software
APRIL 6, 2021
With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.
Percona
MARCH 30, 2023
For example, an analytics application would work best with unstructured image files stored in a non-relational graph database. Instead, the business may design and redesign systems as customer expectations change and business objectives evolve. MongoDB MongoDB is a popular open source* non-relational (NoSQL) database.
ScaleOut Software
DECEMBER 10, 2019
Designing applications that extract real-time insights from streaming telemetry can be a daunting challenge. Importantly, it also can record the results of its analysis in its data object and subject these results to real-time, aggregate analytics. Event streams typically combine messages from many data sources, as shown below.
ScaleOut Software
DECEMBER 10, 2019
Designing applications that extract real-time insights from streaming telemetry can be a daunting challenge. Importantly, it also can record the results of its analysis in its data object and subject these results to real-time, aggregate analytics. Event streams typically combine messages from many data sources, as shown below.
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