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Multi-Modal : Alongside structured data, there's a growing need for semi-structured and unstructured data in gen AI applications. MongoDB's multi-modal document model allows you to handle diverse data types, including documents, network/knowledge graph, geospatial data, and time series data, and to process them.
This, in turn, helps them to build new datapipelines, solutions, and products, or clean up the data that’s there. It bears mentioning data profiling has evolved tremendously. Data migration Digital transformation is ongoing. To achieve this, these developers need to build datapipelines that migrate data.
Systems and data sources are more interconnected than ever before. A broken datapipeline might bring operational systems to a halt, or it could cause executive dashboards to fail, reporting inaccurate KPIs to top management. Data observability is a foundational element of data operations (DataOps).
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