Analytics Microservices System Architecture 
CIO
SEPTEMBER 2, 2022
The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst. Back-end software engineer.
CIO
AUGUST 31, 2022
The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst. Back-end software engineer.
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Mobilunity
APRIL 7, 2025
With the increasing adoption of next-gen technologies 94% of enterprises adopting cloud services, 97% using or planning to embrace microservices, and 97% relying on APIs for digital transformation businesses demand resilient and flexible backend solutions to stay competitive. Lets review them in detail in the table below.
Agile Engine
AUGUST 21, 2024
If your line of business involves corporate investing, wealth management, real estate, or raising capital, keeping your analytics on the leading edge is crucial. In an engagement with a leading wealth management SaaS, we developed an analytics engine that classifies 7+ million financial instruments within a two-hour window.
Netflix Tech
DECEMBER 14, 2018
In this post we will provide details of the NMDB system architecture beginning with the system requirements?—?these these will serve as the necessary motivation for the architectural choices we made. The Netflix media transcoding sub-system is an example of a business critical application.
Datavail
APRIL 6, 2022
This should include asking questions like: What is the system architecture? For example, refreshing your.NET applications makes it much easier to adopt modern IT best practices such as cloud computing and microservices. Where is the source code stored? How is the application compiled and packaged?
Perficient
JUNE 27, 2024
As of this writing, and as a Premier Partner with Google, Perficient currently holds two specializations: Data and Analytics , and Infrastructure. System Design & Architecture: Solutions are architected leveraging GCP’s scalable and secure infrastructure. If you are reading this and have needs in either area, let us know.
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