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O'Reilly - The Self-Service Data Roadmap Book

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Description

In today's competitive landscape, data-driven insights are essential. However, many organizations struggle because deriving insights from raw data can take days or even weeks. Scaling data science teams to meet growing data demands is often impossible for many businesses. This book by Sandeep Uttamchandani offers a practical solution through self-service data strategies. Designed for data engineers, data scientists, and team managers, this guide explains how to build a self-service data science platform. This platform enables anyone in your organization to extract meaningful insights from data more efficiently. By implementing these methods, you can reduce the time it takes to reach actionable conclusions. The book also includes a specific scorecard to help you track and address the bottlenecks that slow down your time to insight.

Key Features

Learn to build a self-service data science platform that allows various members of your organization to extract insights directly from data.

Identify and resolve organizational bottlenecks using a specialized scorecard designed to track what slows down your time to insight.

Scale your data capabilities without needing to rapidly grow your data science team to handle increasing data volumes.

Provide practical guidance for data engineers, data scientists, and team managers looking to democratize data access.

Reduce the delay between collecting raw data and gaining actionable insights to maintain a competitive advantage.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 September 2020
Listed Since
22 May 2020

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