It has been a while.... · Issue #14 · Joshua-Data-Wizard/PyRealEstate
It has been a while since I last chatted with you... I don't know if you remember me or not but the last time we had spoken I was running into some issues trying to calculate what the values of pro...
Available Properties for Sale in Arkansas by County | The Lot Store
To view all available inventory in a specific Arkansas County, please click the county name on the map here. Properties for sale in Arkansas search by county.
Who are the Top 100 Landowners in the US? | Land Report 100
Land Report 100
Explore the 2025 Top 100 U.S. Landowners. View Top 100
Presented by:
Land Report 100
Explore the 2025 Top 100
U.S. Landowners. View Top 100
Presented by:
Land Report 100
Who is America's
Largest Landowner?
This question is the quest
THE Property Data Solution. Our revolutionary tech allows us to get you property and owner data (and lots of it!) faster and cheaper than you've ever been able to before. Slow or buggy applications due to unreliable third party data APIs are a problem of the past.
Unable to find practical examples of idempotent data pipelines? Then, this post is for you. In this post, we go over a technique that you can use to make your data pipelines professional and data reprocessing a breeze.
Data Pipeline Design Patterns - #1. Data flow patterns
Data pipelines built (and added on to) without a solid foundation will suffer from poor efficiency, slow development speed, long times to triage production issues, and hard testability. What if your data pipelines are elegant and enable you to deliver features quickly? An easy-to-maintain and extendable data pipeline significantly increase developer morale, stakeholder trust, and the business bottom line! Using the correct design pattern will increase feature delivery speed and developer value (allowing devs to do more in less time), decrease toil during pipeline failures, and build trust with stakeholders. This post goes over the most commonly used data flow design patterns, what they do, when to use them, and, more importantly, when not to use them. By the end of this post, you will have an overview of the typical data flow patterns and be able to choose the right one for your use case.
Schema-driven development is an important concept to know in 2021. What exactly is schema-driven development? What are the benefits of schema-driven development? We will explore the answers to these questions in this article.