Fivetran for Databases
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Fortune 500 service provider uses Fivetran to pull in data from dozens of SaaS platforms and databases to power business intelligence decisions.
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Follow these tips to ensure that your database schema delivers maximum utility for data warehouse users, data analysts, and data scientists.
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A good database schema is indispensable for making data warehouses work. Get it wrong, and you’ll be in a world of hurt.
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Use schemas to make life easier for your analysts and engineers.
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Here’s how to choose the right relational database for your next project.
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Learn how to design normalized schemas that make life easier for analysts and data engineers.
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Data warehouses are a particular kind of database. Learn how they are uniquely suited to analytics.
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Best-in-class database replication now combines the benefits of snapshots and log-based systems — while avoiding the drawbacks.
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What is NoSQL, and what does it bring to the table?
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Our new feature helps you implement Type 2 slowly changing dimensions for your historical database analytics with no coding needed.
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Database replication for database analytics involves many serious difficulties.
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Use database connectors to uncover insights about your operations.
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Our customers share why they chose Fivetran to replicate their database data and how their analytics have improved as a result.
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