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From Proprietary to Open Source: The Complete Guide to Database Migration

Percona

Migrating a proprietary database to open source is a major decision that can significantly affect your organization. Advantages of migrating to open source For many reasons mentioned earlier, organizations are increasingly shifting towards open source databases for their data management needs.

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AI Prowess: Harnessing Docker for Streamlined Deployment and Scalability of Machine Learning Applications

DZone

Machine learning (ML) has seen explosive growth in recent years, leading to increased demand for robust, scalable, and efficient deployment methods. Traditional approaches often need help operationalizing ML models due to factors like discrepancies between training and serving environments or the difficulties in scaling up.

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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

Systems 226
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Reasons to Choose an Open-Source Test Automation Tool

Testsigma

Open-source software development has grown increasingly popular over the last two decades. Popular OS like Linux and Android; Browsers like Firefox and Chrome; Programming languages like Python and JavaScript; Automation tools like Selenium and Appium; are all Open-Source. Startups are generally budget-challenged.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. Greenplum Architectural Design. Greenplum Advantages.

Big Data 321
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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. Security by design enhanced by unified observability and security – blog Business spend management company Soldo uses unified observability and security to implement efficient security-by-design and DevSecOps practices.

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Cloud Native Predictions for 2024

Percona

We want adopters of our technology to be able to deploy their critical open source databases and applications across any public or private cloud environment. Consequently, they might miss out on the benefits of integrating security into the SDLC, such as enhanced efficiency, speed, and quality in software delivery.

Cloud 83