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Designing and testing for accessibility in GIS and mapping

ArcGIS

Review best practices for designing and testing for accessibility maps and apps throughout the ArcGIS system during the development process.

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Designing and testing for accessibility in GIS and mapping

ArcGIS

Review best practices for designing and testing for accessibility maps and apps throughout the ArcGIS system during the development process.

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ITIL Service Design: Principles, Process and Its Importance

Knowledge Hut

It can be difficult to design IT services that meet business needs and customer expectations. Managing competing priorities, costs, risks, and responsibilities necessitates a clear process and cross-functional collaboration. The service design module is one of the certifications within ITIL v3 Service Lifecycle workstream.

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Supporting Diverse ML Systems at Netflix

Netflix Tech

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 90
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What is Remote Access Trojan (RAT)? Types, Variants, Uses

Knowledge Hut

In cybersecurity, Remote Access Trojans (RATs) have become a major concern for individuals and businesses alike. These sneaky programs can infiltrate your system undetected, allowing hackers to take control of your computer remotely without you even knowing it. What is Remote Access Trojan (RAT)? So, what exactly is the RAT?

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Introducing Cloudera DataFlow Designer: Self-service, No-Code Dataflow Design

Cloudera

This observation further emphasizes the need for universal developer accessibility , which makes sure that developer tooling is easy to use for newcomers while giving power users the advanced options they need. A critical aspect of universal developer accessibility is to provide dataflow development as a self-service offering to developers.

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How to design a dbt model from scratch

Towards Data Science

I mean how do you know the right design? This underscores the importance of thinking carefully about how we design models, not just on our own in dbt, but collectively with all of our stakeholders, to make sure the model is accurate and effective , and we don’t waste our time building each model 4–5 times before its useful.