Cloud-based Data Warehouse

A data warehouse is a repository for all the data that an organization consolidates from various sources – data which can then be accessed and analyzed to run the business. This data could be from multiple data streams, the internet of things, relational databases, and data systems. As on-premises data warehouses are prone to inflexible storage capacity, technical difficulties, and high operational overhead due to hardware maintenance needs, many businesses are moving their data warehousing to the cloud.

Cloud-based data warehouses take advantage of the core benefits associated with on-demand computing including far-reaching user access, seemingly limitless storage, and increased computational capacity, as well as the ability to scale while paying only for what is used. Popular cloud-based data warehouses are Amazon Redshift, Microsoft Azure, and SnowflakeDB.

When your data warehouse is in the cloud, data integration tools play a critical role in turning your data into useful, actionable information. Traditional extract, transform, and load tools cannot scale to move shifting amounts of Big Data to a cloud data warehouse. Snaplogic's web-based iPaaS and AI-powered tools enable customers to integrate their data seamlessly and without additional coding.

Moving data to the cloud? Look before you jump

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