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DevOps Pipeline: Definitive Guide to Build One

Knowledge Hut

And therefore, knowing how to build one is critical. It will also explore the tools available for building and maintaining an effective DevOps pipeline. Consider this as the building of infrastructure. It includes the necessary steps to properly plan, build, test, and release software.

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Effective Communication: Definition, 7 Steps, Examples

Knowledge Hut

Effective communication definition is the process of exchanging or transmitting ideas, information, thoughts, knowledge, data, opinion, or messages from the sender through a selected method or channel to the receiver with a purpose that can be understood with clarity. It encourages the development of building trust with each other.

Project 98
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DevOps Lifecycle: Definition, Phases

Knowledge Hut

The DevOps lifecycle phases are in order from left to right, with each phase building upon the last. It is about automating the process of building, testing, deploying, and maintaining applications to reduce time-to-market for new features and functionality. Operate - This version is now convenient for users to utilize.

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Entity in DBMS: Definition, Types and Examples

Knowledge Hut

Examples of tangible entities include cars, buildings, and people. Entity set definitions usually include a name and a description of the entities in the set. For example, a table in a database is a tangible entity because it is an actual object that can be viewed and interacted with.

MongoDB 98
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The Definitive Guide to Embedded Analytics

The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. We hope this guide will transform how you build value for your products with embedded analytics. Access the Definitive Guide for a one-stop-shop for planning your application’s future in data.

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Building A Data Mesh Platform At PayPal

Data Engineering Podcast

Jean-Georges Perrin was tasked with designing a new data platform implementation at PayPal and wound up building a data mesh. It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. We feel your pain. It ends up being anything but that. You can't optimize for everything all at once.

Building 147
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Movie Recommendation System: Definition, Strategies, Usecase

Knowledge Hut

Today, we’ll talk about how Machine Learning (ML) can be used to build a movie recommendation system - from researching data sets & understanding user preferences all the way through training models & deploying them in applications. How to Build a Movie Recommendation System in Python?

Systems 98
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The Definitive Guide to Predictive Analytics

The Definitive Guide to Predictive Analytics has everything you need to get started, including real-world examples, steps to build your models, and solutions to common data challenges. What You'll Learn: 7 steps to embed predictive analytics in your application—from identifying a problem to solve to building your prototype.

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The Definitive Guide to Embedded Analytics

The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. We hope this guide will transform how you build value for your products with embedded analytics. It will show you what embedded analytics are and how they can help your company.