Remove Data Schemas Remove Data Warehouse Remove High Quality Data
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Implementing Data Contracts in the Data Warehouse

Monte Carlo

In this article, Chad Sanderson , Head of Product, Data Platform , at Convoy and creator of Data Quality Camp , introduces a new application of data contracts: in your data warehouse. In the last couple of posts , I’ve focused on implementing data contracts in production services.

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Why Data Cleaning is Failing Your ML Models – And What To Do About It

Monte Carlo

We’ll then discuss how they can be avoided with an organizational commitment to high-quality data. Imagine this You’re a data scientist with a swagger working on a predictive model to optimize a fast-growing company’s digital marketing spend. The data warehouse is a mess and devoid of semantic meaning.

IT 52
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Build vs Buy Data Pipeline Guide

Monte Carlo

During data ingestion, raw data is extracted from sources and ferried to either a staging server for transformation or directly into the storage level of your data stack—usually in the form of a data warehouse or data lake. There are two primary types of raw data.