The Self-Service Data Roadmap (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