Tag Archives: Data Engineering

Altus SDX: Shared services for cloud-based analytics

Categories: Analytic Database Cloud Data Engineering Enterprise Data Hub Shared Data Experience

The real power in machine learning and analytics is when multiple analytics disciplines are able to work together in concert, sharing data in service of solving more complex and more valuable questions. That’s what Cloudera SDX (Shared Data Experience) enables for our customers and why we’re so excited to introduce it today for Cloudera Altus.…

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Simplifying Big Data in the Cloud

Categories: Cloud Data Engineering Product Spark

In recent years, as public cloud adoption has accelerated and customers have started looking towards cloud for large-scale data workloads, we sought to reimagine how to most effectively offer Cloudera capabilities in the cloud. Our customers wanted to understand how to leverage the agility, scale, and ease-of-use offered by the cloud to efficiently and cost-effectively…

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What To Consider When You’re Considering Cloud

Categories: Analytic Database Cloud Data Engineering Data Science Operational Database Spark

In a blog posted earlier this week, my esteemed colleague Sean Anderson laid out a powerful argument for machine learning (ML) as a way to fuel recommendation engines, churn reduction engines, and IoT workflows. Leveraging components like Apache Spark, and its machine-learning libraries, data scientists are able to design and train complex models using troves…

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