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Unlocking Data Storage: The Traditional Data Warehouse vs. Cloud Data Warehouse

Sisense

Scaling the warehouse as business analytics needs grow is as simple as clicking a few buttons (and in some cases, it is even automatic). The warehouse being hosted in the cloud makes it more accessible, and with a rise in cloud SaaS products, integrating a company’s myriad cloud apps (Salesforce, Marketo, etc.)

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Data Model Development Using Jinja

Sisense

Every aspect of analytics is powered by a data model. A data model presents a “single source of truth” that all analytics queries are based on, from internal reports and insights embedded into applications to the data underlying AI algorithms and much more.