Data Center Data Engineering Microservices Systems Review 
Kentik
FEBRUARY 7, 2023
In an ideal world, organizations can establish a single, citadel-like data center that accumulates data and hosts their applications and all associated services, all while enjoying a customer base that is also geographically close. They do, however, represent an architectural response to the central problem of data gravity.
Hu's Place - HitachiVantara
JANUARY 3, 2019
” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. More focus will be on the operational aspects of data rather than the fundamentals of capturing, storing and protecting data.
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O'Reilly Media - Ideas
JUNE 4, 2019
Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Reinforcement Learning: Building Recommender Systems , August 16. Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. First Steps in Data Analysis , July 22.
O'Reilly Media - Ideas
MARCH 1, 2023
Two smaller categories that are closely related to coding practices also showed substantial increases: usage of content about Git (a distributed version control system and source code repository) was up 21%, and QA and testing was up 78%. As our systems are growing ever larger, object-oriented programming’s importance seems secure.
O'Reilly Media - Ideas
JUNE 5, 2019
Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Reinforcement Learning: Building Recommender Systems , August 16. Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. First Steps in Data Analysis , July 22.
Abhishek Tiwari
JULY 12, 2018
In this post, we will discuss why you should avoid building data pipelines in first place. Depending on the use cases, it is quite possible that you can achieve similar outcomes by using techniques such as data virtualisation or simply building microservices. In a nutshell, a data pipeline is a distributed system.
Existek
JANUARY 11, 2022
For example, they considerably revised the cloud strategy due to the need to transform the delivery model from PaaS to IaaS, thus renaming Windows Azure to Microsoft Azure in 2014. . Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT.
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