Dataflix Delivers Data 360, Available Through Google Cloud Platform Marketplace

Access curated datasets on Google Cloud’s platform.

Santa Clara, CA (PRWEB) - Dataflix today announced its product “Data 360” availability on Google Cloud Platform Marketplace (GCP Marketplace), providing customers with curated public datasets.

GCP Marketplace lets users quickly deploy functional software packages that run on Google Cloud’s platform. GCP Marketplace allows customers to easily start up a familiar software package with services like Compute Engine or Cloud Storage, with no manual configuration required.

Data 360 is a high-demand automotive curated datasets platform, making it easy to access and discover deep insights into vehicle safety, driver behavior and competitors. Datasets contain historical data sourced from authentic and trusted sources like The National Highway Traffic Safety Administration (NHTSA), the National Center for Statistics and Analysis (NCSA), and the Bureau of Economic Analysis (BEA).

“Our goal is to make public data easily accessible for enterprises, without having to invest in data cleansing or data preparation. Data 360 helps enterprises accelerate data science initiatives using AI/ML techniques on our curated datasets.” – said Dheeraj Nallagatla, Founder, Dataflix.

To learn more about Data 360 Solution on GCP Marketplace, please visit: https://console.cloud.google.com/marketplace/partners/dataflix-public-datasets

To learn more about our Google Cloud partnership and services, please visit:
http://www.dataflix.com/gcp

About Dataflix:
Dataflix is a software company focused on emerging technologies – delivering data, analytics, AI and RPA solutions that drive growth & opportunities. We are a Google Cloud partner, empowering businesses with solutions on Google Cloud’s platform to drive innovation and cloud transformation. Our products, capabilities and expertise are helping organizations of all sizes to seamlessly migrate to Google Cloud, modernize applications and build AI/ML powered solutions at scale.