Data Engineering Leadership Microservices Open Source 
CIO
SEPTEMBER 2, 2022
In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. Data engineer.
CIO
AUGUST 31, 2022
In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. Data engineer.
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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.
Apiumhub
SEPTEMBER 20, 2023
Tech Conferences Compass Tech Summit – October 5-6 Compass Tech Summit is a remarkable 5-in-1 tech conference, encompassing topics such as engineering leadership, AI, product management, UX, and data engineering that will take place on October 5-6 at the Hungarian Railway Museum in Budapest, Hungary.
O'Reilly Media - Ideas
JANUARY 25, 2024
While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Microservices saw a 20% drop. Many developers expressed frustration with microservices during the year and argued for a return to monoliths.
O'Reilly Media - Ideas
MARCH 1, 2023
Leadership and management also showed very strong growth (38%). They also realize that management or team leadership may well be the next step in their career. For several years, microservices has been one of the most popular topics in software architecture, and this year is no exception. Have microservices reached a peak?
Abhishek Tiwari
JULY 20, 2019
Either they try to build perfect products or worse use their time to perfect their code by excessive re-factoring and re-engineering. long-lived teams get bored very quickly due to the repetitive and homogeneous nature of work which they channel out by spending time on things like open source projects.
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