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Infoworks DataFoundry Available on Google Cloud Platform

Automated Data Operations and Orchestration Coupled with Cutting-Edge Analytics a Win-Win

Infoworks.io, a leader in Enterprise Data Operations and Orchestration (EDO2) systems, announces the availability of Infoworks DataFoundry on Google Cloud Platform (GCP). DataFoundry accelerates the implementation of cloud analytics projects running on GCP by automating and accelerating development and orchestration of data and analytics pipeline projects at scale. DataFoundry is used by some of the world’s largest enterprises to achieve unprecedented levels of analytics agility by reducing the time and skill level needed to launch analytics use cases by providing a no-code environment. For those attending Strata Data Conference in New York this week interested in learning more, please visit Infoworks at booth #931 at Javits Center.

@infoworksio announces the availability of Infoworks DataFoundry on Google Cloud Platform (GCP)

“Infoworks makes it possible to implement analytics use cases on Google Cloud 10 times faster with 1/10th the people,” said Russ Barck, vice president, Strategic Alliances at Infoworks. “DataFoundry automation distances users from the underlying complexity of distributed data analytics, freeing data professionals to focus on leveraging GCP to deliver machine learning and business intelligence use cases, ultimately helping power digital transformation.”

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Combined with GCP’s cutting-edge analytics, DataFoundry lets users rapidly develop and deploy new data pipelines and analytics use-cases via a visual “drag-and-drop” UI:

  • Eliminates complex and brittle hand-coded data pipelines and workflows
  • Automates data ingestion, data preparation, and operationalization of data pipelines with a no-code development environment
  • Simplifies on-going maintenance of data pipelines by embedding monitoring, lineage and auditing automatically during pipeline development
  • Runs natively on GCP and leverages underlying capabilities to optimize performance of data pipelines
  • Integrates easily with GCP BigQuery, TensorFlow and third-party AI and machine learning solutions via industry-standard API’s

“One of the biggest challenges in digital transformation is achieving the analytics speed and agility required to quickly identify and drive material business outcomes in today’s increasingly competitive environment,” said Manvinder Singh, director, IaaS/PaaS Partnerships, Google Cloud. “We are thrilled to partner with Infoworks to meet customers where they are and make it easier for them to migrate their data workloads to the cloud.”

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