Databricks, the leader in unified data analytics, 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.”

Marketing Technology News: TapClicks Launches Global Partner Program to Strengthen Ecosystem of AdTech and MarTech Integrations

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.

“Organizations combine third party data with existing data lakes to take advantage of a holistic data set that can drive to deeper insights. AWS Data Exchange can empower organizations to easily discover, purchase and ingest new data sets from data providers,” said Pankaj Dugar, vice president of Technology and Data Provider Partnerships, Databricks. “In combination with our Unified Data Analytics Platform, organizations now have the ability to combine internal and third-party data sets and apply data science and advanced analytics.”

Marketing Technology News: LinkedIn Sales Navigator Adds New Feature ‘Data Validation’ to Sync with CRM Data

Databricks enables thousands of organizations to make data-driven decisions. By streamlining the process of onboarding and analyzing third party data advanced analytics and machine learning scenarios are easier to implement, for example applying customer purchase data to refine offers, utilizing weather data for inventory management, or optimizing store placement and offers from customer location data.

“At SafeGraph, enabling organizations with the most accurate Points-of-Interest (POI) data, business listings, and store visitor insights data is our core business,” said Jonathan Wolf, Head of Partnerships at SafeGraph. “We are excited to have our data offerings in AWS Data Exchange, and to partner with Databricks and leverage their Unified Data Analytics Platform to create our unique datasets.”

Marketing Technology News: Salesforce’s Dreamforce 2019 Perfectly Sums Up the ‘Martech’ Mood