Analytics Azure Retail 
Dynatrace
NOVEMBER 6, 2023
Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. Dynatrace recently announced the availability of its latest core innovations for customers running the Dynatrace® platform on Microsoft Azure, including Grail.
Dynatrace
OCTOBER 2, 2024
DevOps teams operating, maintaining, and troubleshooting Azure, AWS, GCP, or other cloud environments are provided with an app focused on their daily routines and tasks. This is explained in detail in our blog post, Unlock log analytics: Seamless insights without writing queries.
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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. Let’s walk through the top use cases for Greenplum: Analytics.
Dynatrace
APRIL 10, 2023
Rural lifestyle retail giant Tractor Supply Co. Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., discussed the 85-year-old retailer’s cloud migration journey and the importance of multicloud observability at Dynatrace Perform 2023.
High Scalability
FEBRUARY 8, 2019
According to 451 Research’s Voice of the Enterprise: Data & Analytics, 28% of businesses run analytics on their employee behavior data, roughly the same number that analyze IT infrastructure data. Retail investors have to put their money somewhere. Are there more quotes?
ScaleOut Software
JANUARY 9, 2020
Consider a retail chain of stores or restaurants with tens of thousands of outlets. Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require.
ScaleOut Software
JANUARY 9, 2020
Consider a retail chain of stores or restaurants with tens of thousands of outlets. Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require.
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