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Building a Media Understanding Platform for ML Innovations

Netflix Tech

Specifically, we will dive into the architecture that powers search capabilities for studio applications at Netflix. We discuss specific problems that we have solved using Machine Learning (ML) algorithms, review different pain points that we addressed, and provide a technical overview of our new platform.

Media 116
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Software outsourcing: interesting statistics, predictions, facts, and key players

Apiumhub

Working with an outsourcing partner can help mitigate the risks associated with your project, such as underestimating timescales and lack of scalability. Also, according to a McKinsey study – 87% of respondents said they either are experiencing gaps in their IT teams now due to recruitment bottlenecks or expect them within a few years.

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Software Testing – All You Need to Know

Openxcell

This blog will provide you detailed knowledge about the SDLC Testing Phase. Software Testing is essential due to the following reasons: 1. The QA team interacts with various stakeholders such as clients, business analysts, system architects, technical leads, etc., – Architectural and Design Requirements. .

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Implementing the Netflix Media Database

Netflix Tech

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. In this post we will provide details of the NMDB system architecture beginning with the system requirements?—?these key value stores generally allow storing any data under a key).

Media 94
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How to Benefit from Rapid Application Development

Mobilunity

This model is usually used when there is a need for client engagement from the earlier stages of the project to define system requirements, plan its functionality, or visualize the interface. During the rapid application design phase, creators can understand, modify and define a working system model that suits their needs.

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Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices

Confluent

This model is completely free form, we can build anything provided that we apply mechanical sympathy with the underlying system behavior. Building the KPay payment system. We need to build something real, such as a payment system. Why a payment system, you ask? Four pillars of event streaming. Out of the Tar Pit, 2006.