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5 Database Schema Design Example: Critical Practices & Designs

Hevo

As a result, organizations should focus on designing superior databases to meet the objectives of projects without losing direction. Consequently, Database Schema Design Examples and the Database Schema Example have […] Databases are the cornerstone of almost all business projects.

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Data Pipeline Design Patterns - #2. Coding patterns in Python

Start Data Engineering

Introduction Sample project Code design patterns 1. Functional design 2. Decorators Misc Conclusion Further reading References Introduction Using the appropriate code design pattern can make your code easy to read, extensible, and seamless to modify existing logic, debug, and enable developers to onboard quicker. Dataclass 3.

Designing 147
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Introducing Cloudera DataFlow Designer: Self-service, No-Code Dataflow Design

Cloudera

These are the questions we asked ourselves, and I am excited to announce the technical preview of DataFlow Designer, making self-service dataflow development a reality for Cloudera customers. Figure 1: The Designer canvas with a brand new look and feel. directly in the designer makes building new flows a lot more self-service.

Designing 101
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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.

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The Definitive Guide to Dashboard Design

Dashboard design can mean the difference between users excitedly embracing your product or ignoring it altogether. Great dashboards lead to richer user experiences and significant return on investment (ROI), while poorly designed dashboards distract users, suppress adoption, and can even tarnish your project or brand.

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Design Smarter, Not Harder: The Power of Integrated Content Standards

Robinhood

. … At Robinhood, we’re constantly striving to enhance our products and processes, and the journey to integrate our Content Standards into our design system was no exception. We’re thrilled to introduce Jessi Field-Sierra, a content designer who played a pivotal role in leading this initiative. Hey, I’m Jessi! Hey, I’m Jessi!

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Design effective & reliable machine learning systems!

KDnuggets

Machine Learning System Design: With end-to-end examples is a practical guide for planning and designing successful ML applications. It lays out a clear, repeatable framework for building, maintaining, and improving systems at any scale.

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6 Steps to Improving Your Application’s Analytics Experience

No one designs bad dashboards and reports on purpose. So why do so many applications have terrible analytics experiences? Download this ebook for secrets to creating dashboards and reports your users will love.

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The Essential Guide to Building Analytic Applications

What are best practices when designing the UI and UX of embedded dashboards, reports, and analytics? Embedding analytics in software presents some unique opportunities—and poses unique challenges—to software teams. What should software teams know about implementing security that works with the rest of their products?

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7+ Graphics Libraries to Enhance Your Embedded Analytics

You’ll learn: Seven graphics libraries developers can use to enhance in-app analytics Easy-to-use wireframe tools to help the design and approval process The importance of modernizing your embedded analytics Download the e-book to learn about the seven-plus graphics libraries to enhance your embedded analytics.

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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. But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. It will show you what embedded analytics are and how they can help your company.

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Best Practices for Deploying & Scaling Embedded Analytics

Application Design: Depending on your capabilities, you can choose either a VM or a container-based approach. Deployment: Benefits and drawbacks of hosting on premises or in the cloud. Packaging and Deployment Workflow: Embedded analytics solution should work seamlessly with your current application.

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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. But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. It will show you what embedded analytics are and how they can help your company.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.