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Summary: This is a summary of an article originally published by The New Stack. Read the full original article here →
Matillion recently unveiled its Data Productivity Cloud, a platform designed to streamline many of the core processes for pipelining data for applications and analytics. The cloud solution serves as an ecosystem for users of all types to work within a common framework for transitioning data from source to target systems.
In addition to now offering resources for both code-savvy and non-savvy code users, Data Productivity Cloud also has a host of options for loading data that simplifies this requisite for data pipelines.
The ability to orchestrate dbt within Matillion’s Data Productivity Cloud signifies a pairing of this technical approach to pipelining data with the company’s low-code, no-code method.
In addition to helping unify the user base for https://www2.deloitte.com/us/en/pages/consulting/articles/building-high-performance-data-pipelines-to-train-machine-learning-models.html, Data Productivity Cloud’s means of making data loading easy is remarkable.
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