Openfield Live

Business Intelligence,Big Data Management,Data Science

Qlik | November 03, 2022

Qlik® today launched Qlik Cloud® Data Integration, its Enterprise Integration Platform as a Service (eiPaaS) offering to fuel enterprise data strategies through a real-time data integration fabric that connects all enterprise applications and data sources to the cloud. “Improving the access, real-time movement and advanced transformation of data between sources and systems across the enterprise is crucial to organizations realizing the full power of their data,&rdquo...

mavenwave.com | February 12, 2020

The current explosion of volume in data coupled with the emergence of new tools and processes on the public internet has created a near-perfect storm when it comes to generating opportunities for the enterprise. In addition to the creation of all new forms of business think of Netflix and Uber the abundance of expansive data that can be utilized in cost-efficient applications can also drive insight and innovation in previously unimaginable ways. As explored in our white paper, Breaking the Mold ...

Big Data Management

Arcadia | August 16, 2022

Arcadia, the leading data analytics platform for healthcare and life sciences, today announced its availability through Prognos Marketplace. Prognos is solving for disconnected, siloed data that cannot interoperate and leaves an incomplete view of the patient, including lab results, prescription information, and medical claims. Arcadia is the first source of electronic health record (EHR) data to be included in the platform, delivering deeper clinical insights that will enable Prognos' life ...

Data Visualization, Data Architecture

PR Newswire | July 13, 2023

Digital transformation software and technology services firm Trianz is thrilled to announce the launch of its configurable data mesh platform Extrica on the AWS Marketplace, offering global enterprises advanced data management capabilities. As the only data mesh born in the cloud, Extrica empowers businesses and IT to harness data 'as-is and where-is'; thus bypassing large data migration and management efforts to deliver analytics 50% faster and more cost effectively. Th...