AWS Data Exchange makes it easy to find, subscribe to, and use third-party data in the cloud. Data scientists, data analysts, and developers in nearly every industry use AWS Data Exchange for access to 3rd-party data to drive analytics, train machine-learning models, and make data-driven decisions. Today, AWS Data Exchange contains over 2,300 data products from 120 providers from a broad range of domains including healthcare, financial services, retail, and more. The AWS Data Exchange Challenge is an opportunity for you to show off your skills, learn something new, collaborate with other developers, and get a shot at part of $35,700 in prizes. You're invited to build solutions to answer tough questions using 3rd-party data products from AWS Data Exchange.

In this regular column, we'll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we're in close touch with vendors from this vast ecosystem, so we're in a unique position to inform you about all that's new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive. Matillion Advances Speed And Simplicity Of Data Integration With Release Of Matillion Data Loader – Matillion, a leading provider of data transformation software for cloud data warehouses (CDWs), announced Matillion Data Loader, a free Software-as-a-Service (SaaS) data integration solution that empowers data analytics professionals and business users to simply and easily load and migrate data with a powerful and scalable product.

Qualified data providers include category-leading brands such as Reuters, who curate data from over 2.2 million unique news stories per year in multiple languages; Change Healthcare, who process and anonymize more than 14 billion healthcare transactions and $1 trillion in claims annually; Dun & Bradstreet, who maintain a database of more than 330 million global business records; and Foursquare, whose location data is derived from 220 million unique consumers and includes more than 60 million global commercial venues. For qualified data providers, AWS Data Exchange makes it easy to reach the millions of AWS customers migrating to the cloud by removing the need to build and maintain infrastructure for data storage, delivery, billing, and entitling. Enterprises, scientific researchers, and academic institutions have been using third-party data for decades to conduct research, power applications and analytics, train machine-learning models, and make data-driven decisions. But, as these customers subscribe to more third-party data, they often have to wait weeks to receive shipped physical media, manage sensitive credentials for multiple File Transfer Protocol (FTP) hosts and periodically check for updates, or code to several disparate application programming interfaces (APIs). These methods are inconsistent with the modern architectures customers are developing in the cloud.

Qualified data providers include category-leading brands such as Reuters, who curate data from over 2.2 million unique news stories per year in multiple languages; Change Healthcare, who process and anonymize more than 14 billion healthcare transactions and $1 trillion in claims annually; Dun & Bradstreet, who maintain a database of more than 330 million global business records; and Foursquare, whose location data is derived from 220 million unique consumers and includes more than 60 million global commercial venues. For qualified data providers, AWS Data Exchange makes it easy to reach the millions of AWS customers migrating to the cloud by removing the need to build and maintain infrastructure for data storage, delivery, billing, and entitling. Enterprises, scientific researchers, and academic institutions have been using third-party data for decades to conduct research, power applications and analytics, train machine-learning models, and make data-driven decisions. But, as these customers subscribe to more third-party data, they often have to wait weeks to receive shipped physical media, manage sensitive credentials for multiple File Transfer Protocol (FTP) hosts and periodically check for updates, or code to several disparate application programming interfaces (APIs). These methods are inconsistent with the modern architectures customers are developing in the cloud.

Reuters, the world's largest multimedia news provider, announced today that it has joined the newly launched AWS Data Exchange to provide access to trusted news and data to Amazon Web Services (AWS) customers. Even more enterprises will now have quick access to Reuters trusted, independent and impartial news content and data, which are produced by 2,500 journalists in more than 200 locations globally, to power their artificial intelligence (AI) applications. "Reuters is constantly seeking new ways to broaden the reach of our independent, trusted and unbiased news content and data. We are excited to be among the first providers of such content in AWS Data Exchange, where our multi-language news data will be made available to a diverse range of AWS customers around the globe," said Alphonse Hardel, Global Head of Business Development and Strategy, Reuters at Thomson Reuters. "With the increasing demand across industries in using news content to train and power their mission critical AI and analytics applications on the cloud, the depth and accuracy of Reuters coverage means AWS customers are now able to seamlessly access the highest quality of data from AWS Data Exchange," added Hardel.