Cloud Native Geospatial Analytics with Apache Sedona

Chapter 2. Getting Started with Apache Sedona

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In this chapter we will learn:

• How to get started with Apache Sedona, using Docker and Wherobots Cloud

• How to use the Spatial DataFrame data structure to work with data in Apache Sedona

• How to use Spatial SQL to query and manipulate geospatial data

• How to visualize spatial data using SedonaKepler

Throughout the book we will primarily make use of Sedona in one of two ways: using the Apache Sedona Docker image or using Wherobots Cloud. We’ll explore getting started with both options in this chapter. Regardless of which option we use, the developer experience of using Apache Sedona is similar and will focus around a Jupyter Notebook environment and Spatial SQL queries. Later in the book in Chapter 9 we will explore how to work with Sedona in cloud environments such as AWS Glue, Databricks, and Microsoft Fabric.

The Apache Sedona Docker Image

Running Apache Sedona using the official Docker image is the first option we will explore for running ...