Introduction Geospatial data volumes and complexity are growing due to diverse sources, such as GPS, satellite imagery, and sensor data. Traditional geospatial processing methods face challenges, including scalability, handling various formats, and ensuring data consistency. The medallion architecture offers a layered approach to data management, improving data processing, reliability, and scalability. While the medallion architecture … Continue reading Demystifying the Medallion Architecture for Geospatial Data Processing
Tag: ETL
Choosing Between an iPaaS and Building a Custom Data Pipeline
In today's data-driven world, integrating various systems and managing data effectively is crucial for organizations to make informed decisions and remain responsive. Two popular approaches to data integration are using an Integration Platform as a Service (iPaaS) or building a custom data pipeline. Each approach has its advantages and challenges, and the best choice depends … Continue reading Choosing Between an iPaaS and Building a Custom Data Pipeline
Do You Need a Data Pipeline?
Do you need a data pipeline? That depends on a few things. Does your organization see data as an input into its key decisions? Is data a product? Do you deal with large volumes of data or data from disparate sources? Depending on the answers to these and other questions, you may be looking at the need for a data pipeline. But what is a data pipeline and what are the considerations for implementing one, especially if your organization deals heavily with geospatial data? This post will examine those issues.