Cloudera, a provider of modern, cloud-optimized machine learning and analytics solutions, will soon launch an Ã§loud native platform for machine learning. The Cloudera Machine Learning platform is supported by Kubernetes’ container technology.
The soon-to-be-launched solution, already previewed according to the provider, will complement Cloudera’s business self-service data science solutions. This new platform combines fast setup and automatic scalability with the containerized, distributed processing of data within heterogeneous IT environments. In addition, the solution to be launched also provides secure access to data in on-premise, public cloud and hybrid environments.
Support of Kubernetes
The support of the Kubernetes ecosystem and the associated container technology helps the solution to integrate with the various on premise, public (multicolloud) and hybrid cloud environments, among other things.
These include seamless portability for private, public and hybrid cloud environments, rapid setup and automatic scaling of cloud environments, horizontally scalable data engineering and machine learning capabilities, high-speed deep learning functionality through distributed GPU planning and training, and secure access to data within the Hadoop Distributed File System (HDFS), object stores in cloud environments, and remote databases, according to the vendor.
Applications of Cloudera Machine Learning
Concretely, unlike other large-scale data processing tools that only support a few aspects of the machine learning workflow or are only accessible to public cloud environments, the solution allows a combination of data engineering and data science to be applied to all types of data in any desired location. According to Cloudera, the platform also puts an end to data philosophy, so that the entire workflow runs faster.
Other applications of the platform include accelerating machine learning processes, from the research stage to the production stage. It also makes it easy for users to set up and scale up environments so that they can spend less time on infrastructure and more time on innovation.
Interested parties can submit a request for access to a preview of Cloudera Machine Learning, which will be released in 2019.This news article was automatically translated from Dutch to give Techzine.eu a head start. All news articles after September 1, 2019 are written in native English and NOT translated. All our background stories are written in native English as well. For more information read our launch article.