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AWS Microservices Architecture – Enabling Faster Application Development

RapidValue

Over the past few years, we have witnessed that the use of Microservices as a means of driving agile best practices and accelerating software delivery, has become more and more commonplace. Key Features of Microservices Architecture. Microservices architecture follows the decentralized data management.

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Kubernetes for Big Data Workloads

Abhishek Tiwari

In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Kubernetes has been particularly successful with microservices and contemporary applications. Key challenges. Performance.

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O’Reilly’s top 20 live online training courses of 2020

O'Reilly Media - Ideas

And individual O’Reilly members are looking to build and expand on their technical skills in everything from software architecture and microservices to AI and programming languages. But which topics are the brightest minds in technology most focused on? Top 20 live online training courses of 2020.

Course 99
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Best Free and Open-Source Database Software

G2 Crowd Software

Free and open-source database tools are typically more appealing to the everyday small business and app creator, so we’ve outlined some of the best ones, according to user reviews on G2 Crowd. Oracle released the first fully functional one in 1979, but today there are hundreds of proprietary and open-source options available.

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Expanding Open Source With Apache Pulsar and Apache Kafka for TIBCO Cloud Messaging

TIBCO - Connected Intelligence

Building on Vivek’s enthusiasm, TIBCO is excited to announce today that we have incorporated support of two of our open-source solutions already available in TIBCO Messaging into TIBCO Cloud Messaging. The Evolution of Event Processing in the Era of Big Data. This was one of the side effects of the Big Data movement.

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Machine Learning Pipeline: Architecture of ML Platform in Production

Altexsoft

Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements. Reasonably, with the access to data, anyone with a computer can train a machine learning model today. Generating predictions.

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Why Java is Still Relevant 30 Years Later

Mentormate

Additionally, Java’s modular architecture and well-defined APIs help facilitate easy extension and alteration of the codebase, making it adaptable to evolving requirements. Almost everything in Java is open-source, fostering collaboration and innovation within the community.