Remove Data Schemas Remove Data Validation Remove Events Remove Metadata
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Implementing Data Contracts in the Data Warehouse

Monte Carlo

All of these options allow you to define the schema of the contract, describe the data, and store relevant metadata like semantics, ownership, and constraints. We can specify the fields of the contract in addition to metadata like ownership, SLA, and where the table is located. Consistency in your tech stack.

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Top 100 Hadoop Interview Questions and Answers 2023

ProjectPro

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

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