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In this eBook, we’ll examine the three pillars of achieving a modern data strategy: modernize, unify, and innovate.
AWS data lakes, analytics, and machine learning (ML) services are designed to help companies turn data into insights in an easy and secure fashion.
Based on a combination of survey research and in-depth executive interviews, this report explores how organizations today are using data to drive business value.
This e-book explores the challenges organizations face in establishing a data-driven culture and the four critical steps they can take to begin to shift the collective mindset.
This e-book explores why data modernization is a defining moment for any organization looking to reinvent itself.
This e-book explores how the growing migration to cloud platforms and services, along with advances in artificial intelligence (AI) and ML.
Learn from Toyota Racing, Expedia, and more on how they use analytics and machine learning to get insights from data and stay one step ahead of customer needs.
This eBook shows the benefits of migrating data infrastructure, like storage, database and analytics, and how businesses spend more time innovating by doing so.
Learn the limitations of on-prem analytics infrastructure, and how the Lake House approach brings together the best of data lakes and purpose-built data stores.
This ebook introduces the challenges when it comes to becoming data-driven, and 3 stages to achieving organizational reinvention by becoming data-driven.
This guide outlines the importance of building a strong data foundation. Discover how actioned analytics pave the way to new customer value.
This guide provides insights, research, and strategies to identify and grow data talent, initiate successful data strategies, and empower a data-driven culture.
This eBook shows what it means to be data-driven and how companies are using data to drive their businesses. Leverage data to improve efficiency and agility.
Get enhanced database performance at a lower cost
Build modern apps with purpose-built databases
Modernize your data warehouse
Going beyond relational databases
Break Free From Legacy Databases
Optimize Data Storage and Deploy a Modern Analytics Pipeline