Companies love the "as-a-service" model for all layers of the technology stack, from infrastructure provided by cloud vendors to full SaaS applications. However, when it comes to data, companies are still operating in a mode of IT-owned and IT-controlled models, where users of data are waiting for their turn in line.
This year we will see the ongoing adoption of open source technologies, methodologies, and cloud services that move companies closer to an "as-a-service" model for their data, making their data scientists, data consumers, and data engineers more productive than ever.
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