Designing a geospatial data lake using modern data architecture
You need to build and scale your geospatial infrastructure for the growing demand for efficiency and agility. Defining the modern data architecture building blocks and designing a data lake requires a data discovery exercise. This discovery process is the first step and includes several discussions with both business and IT stakeholders in an organization. Start working backward from defining the business value. It will be either about solving a specific business problem or about modernizing the enterprise data landscape. Some customers also use geospatial data to solve business, social, environmental, and economic problems. Identify the data consumers such as business analysts, external customers, data engineers, data scientists, and other downstream applications. Find out the consumption mechanisms for these channels. Then, list down all the data sources that are required to attain business value and define the frequencies...