Big Data DevOps Microservices System Design 
O'Reilly Media - Ideas
MAY 1, 2019
Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. Apache Hadoop, Spark and Big Data Foundations , June 5. Real-time Data Foundations: Kafka , June 11.
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
JANUARY 25, 2022
Software architecture, Kubernetes, and microservices were the three topics with the greatest usage for 2021. Enterprises are investing heavily in Kubernetes and microservices; they’re building cloud native applications that are designed from the start to take advantage of cloud services. That’s no longer true.
O'Reilly Media - Ideas
JANUARY 25, 2021
We’ll be working with microservices and serverless/functions-as-a-service in the cloud for a long time–and these are inherently concurrent systems. Operations or DevOps or SRE. The term “DevOps” has fallen on hard times. Operations, DevOps, and SRE. So yes, containerization is clearly a big deal.
LeanEssays
JUNE 5, 2015
Charter a team of responsible experts led by an entrepreneurial system designer. A grassroots movement called DevOps worked to make automated provision-code-build-test-deployment pipelines practical. and architectures (microservices) made it possible for small services and applications to be easily and rapidly deployed.
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