Analytics Business Intelligence Continuous Integration DevOps 
Flexagon
MAY 24, 2022
Oracle Analytics Cloud (OAC) is a highly scalable and approachable cloud-native service. OAC provides enterprises with all the features required to explore and meet the demands of the entire analytics process from data ingestion and modeling, through data preparation and enrichment, to visualization and collaboration.
TechCrunch
JUNE 10, 2022
In my role advising growth-stage enterprise tech companies as part of B Capital Group’s platform team, I observe similar dynamics across nearly every AI, ML and advanced predictive analytics companies I speak with. Companies in even newer categories can map to terms like continuous integration or container management.
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RapidValue
SEPTEMBER 30, 2019
Continuous Integration (CI) has evolved significantly over the last few years. The Shift of Focus From CI Pipelines to DevOps Assembly Lines. The ultimate goal of DevOps is to improve collaboration between all stakeholders from planning through delivery and automation of the delivery process. Native integrations.
Flexagon
MARCH 1, 2022
What these organizations had in common is that they sought a solution to address their current tech stack and IT landscape while easing adoption of emerging technology and agile processes for faster and more effective continuous delivery. DevOps Platform Capabilities . Vast Toolchain Integration Library.
Perficient
JANUARY 10, 2023
He also gave us various links to study further, which were very useful for DevOps Center , Copado, AutoRABIT. Automated continuous integration job. Integrate Salesforce with CRM Analytics. And the last topic was “Integrate salesforce with CRM Analytics by Rajkumar Dorkhande.”. Perform code review.
Gorilla Logic
MAY 19, 2021
Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive.
Altexsoft
FEBRUARY 10, 2021
Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.
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