Abstract
This paper discusses the transition from traditional data warehouses to data lakes in geographic information systems using Lambda architecture. Provides an overview of the key transition steps, including planning, data collection and processing, data querying, data analytics, and metadata management. Particular attention is paid to the interaction of data lakes and GIS, as well as sample big data processing code based on Lambda architecture. The advantages of using data lakes in GIS and the possibilities o integrating modern data processing technologies are considered.
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