A new press release reports, “Databricks, the leader in unified data analytics, today announced API integration with AWS Data Exchange, a new service that makes it easy for millions of Amazon Web Services (AWS) customers to securely find, subscribe to, and use third-party data in the cloud. By integrating the AWS Data Exchange into Databricks Unified Data Analytics Platform, organizations can rapidly combine their internal data with third-party data sets from data providers and seamlessly perform data science and advanced analytics to gain deeper insights. In addition, data providers who use Databricks can experience a streamlined approach to creating, managing and delivering their data sets for consumption by data subscribers. ‘AWS Data Exchange allows customers to easily find, subscribe to, and use third party data in a cloud-native way,’ said Noah Schwartz, Head of Engineering, AWS Data Exchange, Amazon Web Services, Inc. ‘We’re delighted to work with Databricks to help customers securely and easily find and use data for research, analytics, and training machine learning models to optimize their business through data-driven decisions’.”
The release goes on, “To stay competitive, organizations want to gain deeper insights from data, but they continue to encounter time-consuming roadblocks. Organizations struggle to obtain high quality third-party data, and then gather, load, organize, and manage that data. Further, once organizations complete this process, applying data science and managing that lifecycle creates an added level of complexity. This integration between the AWS Data Exchange API and Databricks, which includes pre-built notebooks, makes it easy for data subscribers to onboard, test, transform, and combine data from data providers.”
Read more at Business Wire.
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