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What are Data Access Object and Data Transfer Object in Python?

Analytics Vidhya

The pattern is not an actual code but a template that can be used to solve problems in different situations. This ensures easy […] The post What are Data Access Object and Data Transfer Object in Python? Introduction A design pattern is simply a repeatable solution for problems that keep on reoccurring.

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Drag, Drop, Analyze: The Rise of No-Code Data Science

KDnuggets

No-code or low-code functionalities in data science have gained significant traction in recent years. These solutions are well-proven and matured, and they make data science more accessible to a wider range of people.

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Code Review on Printed Paper: an Excerpt from the Twitoons Comic Book

The Pragmatic Engineer

Today’s newsletter closes with a full chapter from this book, visualizing when Elon Musk demanded all Twitter software engineers print out their code on paper (!!) and report for code review. Code review on printed paper: an excerpt from the Twitoons book A year ago, the end of October 2022 was a very turbulent time at Twitter.

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Low-Code Data Connectors and Destinations

Towards Data Science

Get started with Airbyte and Cloud Storage Coding the connectors yourself? But beware, with ever-increasing data sources in your platform, that can only mean the following: Creating large volumes of code for every new connector. Maintaining complex code for every single data connector. Data flowing like cars in a highway.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Data Access API over Data Lake Tables Without the Complexity

Towards Data Science

Data Access API over Data Lake Tables Without the Complexity Build a robust GraphQL API service on top of your S3 data lake files with DuckDB and Go Photo by Joshua Sortino on Unsplash 1. We want to create a service that will expose just 3 fields from this parquet table for fast API access: name , last_name , and age.

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Building Applications With Data As Code On The DataOS

Data Engineering Podcast

At the Modern Data Company they created the DataOS platform as a means of driving your full analytics lifecycle through code, while providing automatic knowledge graphs and data discovery. Go to dataengineeringpodcast.com/materialize today and sign up for early access to get started. Struggling with broken pipelines? Stale dashboards?

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