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Data engineers vs. data scientists

O'Reilly Media - Data

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

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What Should You Know About Graph Database’s Scalability?

Dzone - DevOps

There is a countless number of enterprises, particularly Internet giants, that have explored ways to make graph data processing scalable.

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Measurement: What SaaS platform builders need to know to prepare for growth, Part 3

CloudGeometry

DevOps has largely completed the evolution of systems monitoring from the datacenter/IT worldview to what is commonly referred to as observability. State of DevOps Report, DORA Research Institute, 2019 The latest iteration of the study was launched in May 2021. Big data has been a game-changer.

Metrics 130
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Software Outsourcing: Why CEOs Love It

Gorilla Logic

Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Skill shortages can delay project kickoffs and delivery.

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Why Are We Excited About the REAN Cloud Acquisition?

Hu's Place - HitachiVantara

Hybrid clouds must bond together the two clouds through fundamental technology, which will enable the transfer of data and applications. REAN Cloud is a global cloud systems integrator, managed services provider and solutions developer of cloud-native applications across big data, machine learning and emerging internet of things (IoT) spaces.

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The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. How data engineering works in 14 minutes.

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The Year Ahead for BPM -- 2019 Predictions from Top Influencers

BPM

Successful organizations will differentiate themselves by ensuring the customer experience is not a fashion or an afterthought, but instead lies at the very heart of how they organize and run their business. Customer experience will become the North Star for all value-added operational excellence and business transformation initiatives.