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Announcing the 2021 Data Impact Awards

Cloudera

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. Industry Transformation: Telkomsel — Ingesting 25TB of data daily to provide advanced customer analytics in real-time .

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Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

Here’s what a few our judges had to say after reviewing and scoring nominations: “The nominations showed highly creative, innovative ways of using data, analytics, data science and predictive methodologies to optimize processes and to provide more positive customer experiences. ” – Cornelia Levy-Bencheton.

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Altus SDX: Shared services for cloud-based analytics

Cloudera

This leads to extra cost, effort, and risk to stitch together a sub-optimal platform for multi-disciplinary, cloud-based analytics applications. Altus SDX enables companies to more easily build and deploy high-value applications for customer analytics, IoT, cyber-security, and more.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

between publishers and subscribers), both Apache NiFi and Apache Atlas offer real-time data lineage as data flows between different data constituents allowing for data compliance and optimization. When it comes to data movement outside the boundaries of Data Products (i.e., To learn more about the CDF platform, please visit [link].

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