What is the Modern data stack?
The modern data stack encompasses a data pipeline, a destination, a transformation layer and a business intelligence/data visualization platform.
It’s easy! As it is hosted in the cloud and abstracts away complications from configuring infrastructure, modern data stacks today can easily be set up in less than an hour.
The modern data stack saves time, money and effort. The low and declining costs of cloud computing and storage continue to increase the cost savings of a modern data stack compared with on-premise solutions. Off-the-shelf connectors save considerable engineering time otherwise spent designing, building and maintaining data connectors, leaving your analysts, data scientists and data engineers free to pursue higher-value analytics and data science projects.
The most important difference between a modern data stack and a legacy data stack is that the modern data stack is hosted in the cloud and requires little technical configuration by the user. These characteristics promote end-user accessibility as well as scalability to quickly meet your growing data needs without the costly, lengthy downtime associated with scaling local server instances. The components of the modern data stack are built with analysts and business users in mind, meaning that users of all backgrounds can not only easily use these tools, but also administer them without in-depth technical knowledge.
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