Modeling Unstructured Data for Self-Service Analytics with dlt and Holistics

dlt` and Holistics are two tools that work together to create a modern data stack for addressing the MongoDB data accessibility issue. `dlt` is used for data ingestion, normalization, schema creation, and loading into BigQuery, making the data more structured and accessible. Holistics provides the means to transform, model, and analyze this data by adding relationships between various datasets and enabling self-service analytics for stakeholders. The modern data stack offers an efficient and effective way to bridge the gap between MongoDB's unstructured data storage capabilities and the diverse needs of business, operations, and data science professionals.

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