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Editorial Team

Editorial Team

Últimos Posts

Engaging Startups to Enhance the Development of SAP IoT

[fa icon="calendar'] 16/02/18 09:04 by Editorial Team saved in SAP

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2017 observed various transformations concerning Iot and digital supply chain. Many industries invested capital and resources on the Internet of Things. Additionally, leading industries swiftly implemented IoT solutions such as security, cognitive computing, and blockchain among others. Importantly, Forrester Research had predicted that Internet of Things would form the backbone of customer’s value.

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What is Amazon Aurora?

[fa icon="calendar'] 14/02/18 09:15 by Editorial Team saved in AWS

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Amazon Aurora is a database engine that uses tables and principles to bring together reliability and speed of top-notch commercial databases and open source databases that are simple and cost-effective.

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Some of the Best DevOps Tools

[fa icon="calendar'] 12/02/18 08:50 by Editorial Team saved in DevOps

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The business value of development-operations is undeniable especially when a company with the task of delivering various applications.

DevOps combines software development and IT operations, making it easier for an enterprise to implement its technology strategy.

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Benefits & Capabilities of the AWS Serverless Platform

[fa icon="calendar'] 09/02/18 08:55 by Editorial Team saved in AWS, Serverless

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Programming without the need for servers ensures developers can keep their primary focus on their product at its core, by eliminating the need to manage servers and monitor run times.

The AWS Serverless Platform can be built for numerous applications and backend services, without requiring the developer to provision any servers.

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A DevOps approach to Monitoring

[fa icon="calendar'] 07/02/18 09:10 by Editorial Team saved in DevOps

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Every day, companies are striving to offer better services to their customers, and this includes increasing their clients’ needs response time. To do this, they have to their applications release frequency. This requires more than just the traditional IT operations, and it is where Engineering culture comes in.

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Artificial Intelligence, Machine Learning and Data Science. What are the differences?

[fa icon="calendar'] 05/02/18 09:05 by Editorial Team saved in Big Data

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Data analysis is a growth market. The details of human interactions, and knowledge can now be analysed for patterns of behaviour, through a variety of techniques. These analysis techniques can produce insights and predictions, which can guide the future actions of governments, and corporations.

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