Remove Big Data Remove Software Engineering Remove Systems Administration
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The 10 most in-demand tech jobs for 2023 — and how to hire for them

CIO

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. DevOps engineers must be able to deploy automated applications, maintain applications, and identify the potential risks and benefits of new software and systems.

LAN 215
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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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20 influential women in software development

Apiumhub

Tanya Reilly has been a Systems Administrator and Site Reliability Engineer at Google since 2005, working on low-level infrastructure like distributed locking, load balancing, and bootstrapping. Adi Polak is an experienced Software Engineer with a demonstrated history of working in the big data industry.

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Infrastructure Engineer: Key Duties, Skills, and Background

Altexsoft

The article promoted the idea of a new type of system administrator who would write code to automate maintenance, upgrades, and other tasks instead of doing everything manually. As a rule, the network infrastructure engineer augments the IT team that manages a large, enterprise-grade environment. System administration.

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The Good and the Bad of Kubernetes Container Orchestration

Altexsoft

The shift to non-application jobs driven by the ability to support various types of workloads turns Kubernetes into a universal platform for almost everything and a de-facto operating system for cloud-native software. It requires basic knowledge of system administration, Python, Linux virtual machines, and Kubernetes.

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Unlocking generative AI for enterprises: How SnapLogic powers their low-code Agent Creator using Amazon Bedrock

AWS Machine Learning - AI

Observability – Robust mechanisms are in place for handling errors during data processing or model inference. Errors are logged and notifications are sent to system administrators for resolution. Logs are centrally stored and analyzed to maintain system integrity.

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What You Need to Hire IT Contractors:Roles, Benefits, and Challenges for Business

Mobilunity

Access to Technologies Projects that need access to rare skill sets, hard-to-find software engineers, technologies where demand for IT contractors comes over availability (like AI, Python, and Data Science), can quickly fill the knowledge gap. This model allows to quickly upscale / downscale the workforce.