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OEM Architecture: What’s Right For Your Business?

Sisense

We support embedding the full Sisense application, including the data modeling, analytics and administration areas, or embedding specific OEM dashboards and widgets using IFrames. Typically Best for: Tenants with identical data models and dashboard requirements. Option 2: Dedicated ElastiCube per tenant.

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Build an Agile Data Warehouse with an Iterative Approach

Astera

Main Components of Astera’s Data Warehouse Builder With that said, almost any organization can deploy an agile data warehousing solution, provided that it has the right technology stack fueling the initiative. Discover best practices to manage high volume data warehouses Download Whitepaper Okay, Sounds Great.

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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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Data Lake vs Data Warehouse: Which Is Right for You?

Astera

While data lakes and data warehouses are both tools for data management, the similarities don’t extend much beyond that. We’ll explore these differences in this data lake vs data warehouse showdown.

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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? Data is organized into two types of tables in a dimensional model: fact tables and dimension tables.

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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? Data is organized into two types of tables in a dimensional model: fact tables and dimension tables.