The Data Flywheel is a comprehensive and additive approach that helps you get the most value from your data. Built properly, it ultimately gains self-sustaining momentum—generating deeper insights from more data as it spins. Creating your own Data Flywheel is not a linear process. So you can start with any of these steps, complete them in any order—and use AWS solutions to knock down challenges along the way.
The Data Flywheel: Break free from legacy databases, move to managed services, modernize your data warehous...
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The Data Flywheel: Break free from legacy databases, move to managed services, modernize your data warehouse, build modern applications with purpose-built databases, and turn data into insights
Explore the types of databases available, the differences between standard managed database services and cloud-native databases, and key considerations when planning the migration to the cloud.
A modern architecture allows data to be accessed by purpose-built analytics services optimized for different data types and use cases leading to growth, innovation, forecasting and decision making.
In the era of the purpose-built database, developers must decide between emerging database models. Learn how to effectively use purpose-built databases to achieve your business goals faster.
Organizations in every industry are seeking ways to make the most of data—and modern technology offers powerful solutions.
Get tips on how your business can increase agility and maximize the value of your data. Learn how you can use data to improve decision making, drive innovation, and accelerate business outcomes.
Data and analytics leaders selecting DBMS solutions must accept that cloud DBMS is the future and must plan for shifting spending, staffing and development accordingly.
Accelerate innovation and improve decision making by moving to fully managed analytics services .
An excerpt from Good to Great by Jim Collins
Amazon RDS provides organizations cost and operational efficiencies as well as business and operational benefits tied to improved database agility, scalability, and performance.
The Data Flywheel is a comprehensive and additive approach for business and technology leaders to enable organizations to get the most value from their data.
A modern culture of data is an environment of experimentation and innovation where everyone can and does use data to make decisions.
Now is the time to seize the big idea that will propel your organization into the future. Explore our workshops and offerings to get you off the ground.
"Elsevier used AWS & Talend to integrate data from multiple systems & visualized it through Tableau. Slalom trained 80+ employees to accelerate to a modern culture of data.
In this virtual discussion, you'll hear how to leverage a modern data architecture. You’ll hear how The Coca-Cola Company modernized their approach leveraging Amazon Redshift to gain new insights.
From talk to tangible. A real-world guide to machine learning is a guide to help you cut through the hype and go straight to the applications and benefits of machine learning, powered by AWS.
Amazon SageMaker enables you to quickly and easily build & deploy machine learning at scale. Tune in to learn what organizational transformation powered by ML looks like.
Atlanta Public Schools leads the nation in transforming data into clear insights that empowers everyone. This success is built on Tableau & an AWS data platform that meets ISO compliance standards.
Avis Budget Group worked with Slalom to use ML on AWS and build an optimization engine for its connected car mobility platform. Building on AWS has helped Avis develop 10x faster than expected.
Companies are realizing that data is an organizational asset. Here’s how they’re putting it to work.