data warehouse
How do people use Snowflake and Redshift?
Ingestion and transformation are the primary workloads of real data warehouses.
What is a data lake?
Data lakes serve as affordable, scalable repositories for all forms of data and play a central role in analytics.
A tale of three data platforms
The convergent evolution of BigQuery, Snowflake and Databricks demonstrates a broader tendency in the development of cloud platforms.
Four approaches to data infrastructure modernization
As your organization’s data operations mature, you will need to upgrade your infrastructure to fulfill new needs and requirements
Building a data architecture for long-term success
Modern data stores give you the flexibility to tailor a data architecture to your needs
Replacing iPaaS workflows with warehouse-centric data pipelines
Welcome to the data movement movement. Use Fivetran and Hightouch to replace your existing iPaaS workflows and build warehouse-centric data pipelines.
Enterprise data warehouses: Definition and guide
An enterprise data warehouse is critical to the long-term viability of your business.
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