Description
Book Synopsis: Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work.
Build a self-service portal to support data discovery, quality, lineage, and governance
Select the best approach for each self-service capability using open source cloud technologies
Tailor self-service for the people, processes, and technology maturity of your data platform
Implement capabilities to democratize data and reduce time to insight
Scale your self-service portal to support a large number of users within your organization
Read more
Details
Are you tired of waiting days or weeks to derive insights from your raw data? Don't let your organization fall behind the competition. Introducing the Self-Service Data Roadmap, your key to democratizing data and reducing time to insight. With our practical book, you'll learn how to build a self-service data science platform that empowers anyone in your organization to extract valuable insights from data. Say goodbye to bottlenecks and hello to efficiency.
Our expert author, Sandeep Uttamchandani, provides a comprehensive scorecard to track and address those pesky bottlenecks that slow down time to insight. From data discovery to transformation, processing, and production, our book bridges the gap between data scientists who are bottlenecked by engineering realities and data engineers who are unclear about making self-service work. It's time to unlock the full potential of your data.
But that's not all. Our book will guide you on how to build a self-service portal that supports data discovery, quality, lineage, and governance. We'll help you select the best approach for each self-service capability using open source cloud technologies. And most importantly, we'll show you how to tailor self-service to fit the people, processes, and technology maturity of your data platform. With our guidance, you'll be able to democratize data and reduce time to insight like never before.
Don't let your organization be left in the dust. Scale your self-service portal to support a large number of users within your organization and stay ahead of the data-driven curve. It's time to empower your team and unlock the full potential of your data. Get started today with the Self-Service Data Roadmap and revolutionize the way you extract insights from your data.
Click here to get your copy of the Self-Service Data Roadmap now and start harnessing the power of data-driven insights!
Discover More Best Sellers in Databases & Big Data
Shop Databases & Big Data
Data Center Handbook: Plan, Design, Build, and Operations of a Smart Data Center
Databases & Big Data - Data Center Handbook: Plan, Design, Build, and Operations of a Smart Data Center
Communicating Data with Tableau: Designing, Developing, and Delivering Data Visualizations
Databases & Big Data - Communicating Data with Tableau: Designing, Developing, and Delivering Data Visualizations
NGINX Unit Cookbook: Recipes for Using a Versatile Open Source Server
Databases & Big Data - NGINX Unit Cookbook: Recipes for Using a Versatile Open Source Server
Effective Data Science Infrastructure: How to make data scientists productive
Databases & Big Data - Effective Data Science Infrastructure: How to make data scientists productive
Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models
Databases & Big Data - Regression Analysis: An Intuitive Guide for Using and Interpreting Linear Models
Databases & Big Data - Murach's Oracle SQL and PL/SQL Professional Data Analytics Guide for Database Development & Cloud Hosting - Learn Efficient Statements, Stored Procedures & Database Design (3rd Edition)
Databases & Big Data - Bayesian Analysis with Python: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ, 2nd Edition
Databases & Big Data - Microsoft Certified Azure Data Fundamentals (Exam DP-900) Certification Guide: The comprehensive guide to passing the DP-900 exam on your first attempt
Databases & Big Data - Excel: The Absolute Beginner's Guide to Maximizing Your Excel Experience for Maximum Productivity and Efficiency With all Formulas & Functions and Practical Examples

