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How ML System Design helps us to make better ML products

Xebia

Demand forecasting is chosen because it’s a very tangible problem and very suitable application for machine learning. Table of Contents What is Machine Learning System Design? Machine Learning System Design is the iterative process of defining a software architecture. More about this later in this post.

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Enabling privacy and choice for customers in data system design

Lacework

This article addresses privacy in the context of hosting data and considers how privacy by design can be incorporated into the data architecture. This is privacy preserving by design and by default, as the SHA256 one-way hash cannot be reversed to unmask the original data in cleartext (human readable) format.

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Weaving Architectural Patterns III – Data Mesh

Data Virtualization

Reading Time: 4 minutes Software systems designers often structure their thinking around the underlying functional and data/information components of their desired applications. This approach—analogous to the scientific method of breaking a system into its smallest sub-parts in order to understand how it works—forms the.

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Weaving Architectural Patterns III – Data Mesh

Data Virtualization

Reading Time: 4 minutes Software systems designers often structure their thinking around the underlying functional and data/information components of their desired applications. This approach—analogous to the scientific method of breaking a system into its smallest sub-parts in order to understand how it works—forms the.

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ReadySet raises $29M to expedite access to enterprise-scale app data

TechCrunch

ReadySet , a company providing database infrastructure to help developers build real-time applications, today announced that it raised $24 million in a series A funding round led by Index Ventures with participation from Amplify Partners. Several angel investors also contributed, bringing ReadySet’s total raised to $28.9

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Journey to Event Driven – Part 2: Programming Models for the Event-Driven Architecture

Confluent

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. In this way, we don’t think about solution architecture in just one dimension. Data evolution.

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5 Types of Infrastructure Engineers Your Business May Need

Mobilunity

In the modern business world, businesses need to have a robust, scalable, and efficient IT infrastructure to deliver integrated services that support the physical resources, processes, and operators need to develop, integrate, operate, and maintain IT applications and support services. The Role of an Infrastructure Engineer.