Analytics Business Intelligence Continuous Integration Microservices 
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.
Altexsoft
FEBRUARY 24, 2023
Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). Initially, companies utilized Kubernetes mainly for running containerized microservices.
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RapidValue
SEPTEMBER 30, 2019
Continuous Integration (CI) has evolved significantly over the last few years. Accurate Continuous Deployment with interoperability. Native integrations. Team-based business intelligence and analytics. This approach is extremely developer-focused and requires manual integrations many times in a day.
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.
Existek
JANUARY 27, 2023
Analytics and business intelligence (BI) systems are commonly used in the financial services industry to analyze large amounts of data and generate insights for informed business decisions. Another commonly used technology in software development for financial services, banks, and fintech is Microservices.
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