Data Engineering DevOps Retail Software Engineering 
CIO
OCTOBER 1, 2022
P&G also uses predictive analytics to help ensure the company’s products are available at retail partner “where, when, and how consumers shop for them,” Cretella says, adding that P&G engineers also use Azure AI to ensure quality control and equipment resilience on the production line.
Apiumhub
AUGUST 12, 2021
This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.
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O'Reilly Media - Ideas
FEBRUARY 11, 2020
Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. An additional 7% are data engineers.
Altexsoft
JULY 19, 2022
This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.
Altexsoft
DECEMBER 9, 2020
Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software. At this stage, data is siloed, not accessible for most employees, and decisions are mostly not data-driven.
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