Remove Cloud Data Remove Data Governance Remove Data Models Remove ETL
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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Key features of cloud analytics solutions include: Data models , Processing applications, and Analytics models. Define data ownership, access controls, and data management processes to maintain the integrity and confidentiality of your data. Ensure that data is clean, consistent, and up-to-date.

Analytics 203
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Why Snowflake is the Ideal Platform for Data Vault Modeling

phData

Hashed PKs were introduced as a means of eliminating the bottleneck encountered by most database sequence generators, making this DV pattern ideal for customers prioritizing data loading performance and using data warehouse automation tools. Using variant columns in data vault satellites in Snowflake can provide several benefits.

professionals

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How Alation’s Data Team Uses the Modern Data Stack to Power Insights

Alation

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. Jason: How do you use these models? Happy to chat.

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The Ultimate Modern Data Stack Migration Guide

phData

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. This typically results in long-running ETL pipelines that cause decisions to be made on stale or old data.