aws

Azure Marketplace features Cloudera Customer 360 offering

Cloudera’s diverse and expansive partner ecosystem includes major tech companies constantly redefining the industry, consultancies guiding some of the most comprehensive digital transformations, fast-emerging ISVs challenging status-quo, and cloud companies providing unparalleled flexibility and scalability. Individually, these companies deliver great…
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Building a Self-Managed Shared Data Experience

Cloud promises many advantages as an environment for machine learning and analytics. Cloud makes it fast and easy to spin up resources for new applications. Cloud offers elasticity of those resources to efficiently support transient analytics workloads and data pipelines….
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Simplifying Big Data in the Cloud

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…
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Can an Elephant Fly in the Cloud?

It is that time of year again, right before Christmas in Las Vegas, where nearly 30,000 technologists gather to see the latest in innovation around the Cloud. Hortonworks is honored to participate as an exhibitor for the first time. If you…
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Can an Elephant Fly in the Cloud?

It is that time of year again, right before Christmas in Las Vegas, where nearly 30,000 technologists gather to see the latest in innovation around the Cloud. Hortonworks is honored to participate as an exhibitor for the first time. If you…
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Cloudera Director for a Self-Service Hadoop Experience

Hadoop has become the data platform of choice for storing and processing massive volumes of data that get generated and ingested daily, with rapid adoption across a variety of industries. Cloudera’s enterprise data hub (EDH), powered by Hadoop, provides the…
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Simplifying the Cloud with Cloudera Director 1.1

With more and more data being stored in the cloud, it’s no wonder that we are seeing Hadoop follow suit. However, too often for users, they are forced to make tradeoffs when deploying Hadoop in the cloud, particularly around the…
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