EMA Perspectives – Informatica Makes Sparks Fly in the Cloud

Sep 18, 2018 11:54:08 AM

On September 12, 2018, at Strata NYC, Informatica announced a data management solution for Apache Spark-based cloud environments, including Google Cloud Dataproc, Qubole, and Azure Databricks. Touting new advancements in CLAIRE™, a metadata intelligence technology powered by artificial intelligence (AI) and machine learning, this new release is targeted at increasing the efficiency and reach of data management organizations. To expand efficiency, Informatica is releasing more than 50 new algorithms and functions for automated data discovery and preparation, as well as machine learning focused on industrializing data operations.


  1. The use of AI and machine learning in data management is strategic for IT leaders who are serious about modernization.
  2. Organizations adopting data management deep learning, otherwise described as expansion in the use of AI and machine learning, will outpace their competitors in terms of productivity and speed.
  3. The value of machine learning applied to data discovery and preparation grows exponentially when those activities are integrated with a full enterprise data management platform.
  4. Serverless data pipelines take the lid off limitations on data volume and speed. They are the future of modern data integration and enterprise interoperability.
John Santaferraro

Written by John Santaferraro

John is the research director for analytics, business intelligence, and data management at EMA. His 23 years of experience in the data and analytics market span everything from startups to executive positions at Fortune 50 companies. His deep understanding of the industry comes from years of leadership in product and marketing organizations, along with multiple big data imagineering efforts for finance, communications, retail, manufacturing, healthcare, events, oil and gas, and utilities. John's coverage area also includes data integration, data discovery, metadata management, artificial intelligence, machine learning, data science, digital marketing, and innovation.

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