From the course: Complete Guide to Data Lakes and Lakehouses

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Cloud data warehouses: BigQuery, Azure Synapse, and Redshift

Cloud data warehouses: BigQuery, Azure Synapse, and Redshift

From the course: Complete Guide to Data Lakes and Lakehouses

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Cloud data warehouses: BigQuery, Azure Synapse, and Redshift

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- I know what you're thinking: Why are we talking about cloud data warehouses now? Well, it turns out modern data warehouses all have mechanisms to connect and access data from data lakes, effectively creating a lakehouse-like architecture. That's why data warehouses, like Google BigQuery, Azure Synapse, and Amazon Redshift are transforming the landscape of data analytics, and blurring the lines between types of their infrastructures. Let's take a closer look at their features. BigQuery's a fully managed serverless data warehouse that enables super-fast SQL queries using the processing power of Google's infrastructure. It is designed to be highly scalable and cost-effective, handling petabytes of data with ease. When it comes to integration with data lakes, these are BigQuery's best features. BigQuery's serverless approach allows you to focus on data insights rather than managing infrastructure. Its ability to scale automatically makes it a perfect fit for variable workloads, typical…

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