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Progress for big data in Kubernetes

O'Reilly Media - Data

First off, if your data is on a specialized storage appliance of some kind that lives in your data center, you have a boat anchor that is going to make it hard to move into the cloud. Even worse, none of the major cloud services will give you the same sort of storage, so your code isn’t portable any more.

Big Data 229
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The future of data: A 5-pillar approach to modern data management

CIO

This article proposes a methodology for organizations to implement a modern data management function that can be tailored to meet their unique needs. By modern, I refer to an engineering-driven methodology that fully capitalizes on automation and software engineering best practices. However, there is good news for smaller companies.

Data 167
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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

Ground truth data in AI refers to data that is known to be factual, representing the expected use case outcome for the system being modeled. By providing an expected outcome to measure against, ground truth data unlocks the ability to deterministically evaluate system quality.

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Code analysis tool AppMap wants to become Google Maps for developers

TechCrunch

The 10/10-rated Log4Shell flaw in Log4j, an open source logging software that’s found practically everywhere, from online games to enterprise software and cloud data centers, claimed numerous victims from Adobe and Cloudflare to Twitter and Minecraft due to its ubiquitous presence. Image Credits: AppMap.

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The Significance of Open Source Software in the Digital-First Future Enterprise

CIO

As companies shift their focus from the digital transformation of individual processes to the business outcomes enabled by a digitally transformed organisation, software engineering will become a core enterprise capability. 61% of respondents rated the performance of OSS as being superior compared to proprietary software.

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Top 10 Highest Paying IT Jobs in India

The Crazy Programmer

Currently, the demand for data scientists has increased 344% compared to 2013. hence, if you want to interpret and analyze big data using a fundamental understanding of machine learning and data structure. Software Architect. Big Data Engineer. It was one of the highly demanding job skills in 2020.

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Handling real-time data operations in the enterprise

O'Reilly Media - Data

Getting DataOps right is crucial to your late-stage big data projects. Let's call these operational teams that focus on big data: DataOps teams. Companies need to understand there is a different level of operational requirements when you're exposing a data pipeline. A data pipeline needs love and attention.