Self-Service Data Roadmap, The: Democratize Data and Reduce Time to Insight

Data-driven insights are a key competitive advantage for any industry today. But transforming raw data into insights can take days or weeks when you want them now. Most organizations can&;t scale their data science teams quick enough to keep up with the growing need for better, faster insights. What&;s the answer? Self-service data.

This practical book shows data engineers, scientists, and team managers how to build a self-service data science platform that helps anyone in your organization extract insights from data. Author Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insights across data discovery, transformation, processing, and production. Organizations will be able to adopt self-service data based on their current state and AI/ML requirements.

This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about the capabilities required to unblock self-service. You&;ll explore:

A collection of must-have operational capabilities for building a self-service data portal
A blueprint for achieving better and faster insights
A process for democratizing data engineering expertise across an organization



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