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DataVault 2.0

DataVault 2.0

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What is DataVault 2.0?

Data Vault 2.0 is a data modeling methodology designed for building long-term historical data warehouses that are scalable, auditable, and resilient to change. It emphasizes data provenance and traceability, and is often used for integrating data from various sources into a single, consistent repository for reporting and analytics. It addresses data warehousing needs within complex, changing environments, accommodating structural modifications while maintaining a consistent historical record.

What other technologies are related to DataVault 2.0?

DataVault 2.0 Complementary Technologies

Snowflake is a cloud-based data warehousing platform that is often used as the database to host Data Vault 2.0 models. It provides the scalability and performance needed for Data Vault implementations.
mentioned alongside DataVault 2.0 in 0% (66) of relevant job posts
Python is a versatile programming language often used for data integration, automation, and data quality processes within a Data Vault 2.0 implementation. It can be used for tasks such as data extraction, transformation, and loading (ETL).
mentioned alongside DataVault 2.0 in 0% (63) of relevant job posts
SQL is the standard language for querying and manipulating data in relational databases. It is essential for loading data into, and querying data from, a Data Vault 2.0 model.
mentioned alongside DataVault 2.0 in 0% (77) of relevant job posts

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