From the course: Hands-On PostgreSQL Project: Spatial Data Science

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Overview of current geospatial technology landscape

Overview of current geospatial technology landscape

From the course: Hands-On PostgreSQL Project: Spatial Data Science

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Overview of current geospatial technology landscape

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- [Instructor] The landscape of geospatial technology today is diverse and constantly evolving, with advancements in fields like artificial intelligence and big data. Depending on your needs, there are different approaches to working with geospatial data, whether it is low-code enterprise solutions, low-code open-source software, or programming solutions. This blend allows businesses the opportunity for robust scalable solutions while allowing individuals, learners like you, to gain hands-on experience in the world of geospatial data science with flexible and cost-effective alternatives, each approach offers unique strength and trade-offs. Enterprise low-code solutions are designed for businesses and large organizations that require robust, scalable geospatial analysis with minimal coding and onboarding. Corporations and government agencies often use these softwares to answer questions, such as, where should McDonald's next store location be? Or where should the city place traffic…

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