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Page 24 - Cloudera Data Platform News Today : Breaking News, Live Updates & Top Stories | Vimarsana

The rise of the cloud data platform

| The rise of the cloud data platform As impressive as the enterprise’s progress toward a data-driven economy was last year, the big bang we’ve been expecting from big data is still ahead. Getty Images The year 2020 is seared into CIOs’ collective memory as one of the most cataclysmic, consequential years this century. But while the pandemic helped drive digital transformation far beyond anyone’s expectations, make no mistake: This was not the perfect storm we’ve all envisioned. If anything, the unprecedented wave of data-driven deployments last year shined a light on shortcomings in existing frameworks that are muting big data’s potential. Many organizations, for example, have been frustrated by how long it can take just to prepare data before analysts and scientists can even start a new project.

Cloudera s Data Platform Private And Public Cloud Both GA And It s Time To Migrate

Cloudera s Data Platform Private And Public Cloud Both GA And It s Time To Migrate
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Cloudera Collaborates with NVIDIA to Accelerate Data Analytics and AI in the Cloud

Cloudera Collaborates with NVIDIA to Accelerate Data Analytics and AI in the Cloud Accelerating Cloudera Data Platform with NVIDIA computing makes AI-fueled business transformation a reality News provided by Share this article Share this article SANTA CLARA, Calif., April 12, 2021 /PRNewswire/  Cloudera, (NYSE: CLDR), the enterprise data cloud company, today announced that RAPIDS  Accelerator for Apache Spark 3.0. Deployed on NVIDIA computing platforms, the software enables enterprises to accelerate data pipelines and push the performance boundaries of data and machine learning (ML) workflows to drive faster AI adoption and deliver better business outcomes, without changing any code. With the release earlier this year of Applied ML Prototypes (AMPs) in CDP and the power of  NVIDIA computing, customers like the Internal Revenue Service and the Office for National Statistics UK can not only jumpstart fully packaged ML use cases, but also accelerate data processing and model

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