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Build an Agile Data Warehouse with an Iterative Approach

Astera

And consequently, having a constantly evolving architecture means you will have access to accurate, up-to-date data to fuel your analytics, allowing teams and departments to meet their respective goals. However, the recommended way is to opt for a unified platform that checks all these boxes to meet your data warehousing needs.

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Self-Service Analytics for Google Cloud, now with Looker and Tableau

Tableau

Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey. With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics.

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Self-Service Analytics for Google Cloud, now with Looker and Tableau

Tableau

Leveraging Looker’s semantic layer will provide Tableau customers with trusted, governed data at every stage of their analytics journey. With its LookML modeling language, Looker provides a unique, modern approach to define governed and reusable data models to build a trusted foundation for analytics.

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SQL Server for Data Warehouse: Optimizing Data Management and Analysis

Astera

In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way. Free Download What is a Data Warehouse? The overarching goal of this architecture is to provide a robust foundation for analytical processing. Learn more in this whitepaper.

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SQL Server for Data Warehouse: Optimizing Data Management and Analysis

Astera

In this article, we’re going to talk about Microsoft’s SQL Server-based data warehouse in detail, but first, let’s quickly get the basics out of the way. Free Download What is a Data Warehouse? The overarching goal of this architecture is to provide a robust foundation for analytical processing. Learn more in this whitepaper.

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Cloud Data Warehouse: A Comprehensive Guide

Astera

Practical Tips To Tackle Data Quality During Cloud Migration The cloud offers a host of benefits that on-prem systems don’t. Here are some tips to ensure data quality when taking your data warehouse to the cloud. The fact that the cloud data warehouse market is expected to reach  $3.5 We've got both!

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A Cost/Benefit Guide to the Data Warehouse

Actian

The value of your company’s realized business insights is directly dependent on the quality of data with which you are working. To maximize your potential value, continuous data maintenance is needed. Learn about the benefits of deploying your own Data Warehouse in the cloud by downloading the whitepaper here.