PALO ALTO, Calif., Sept. 24, 2019 /PRNewswire/ -- Cloudera (NYSE:
CLDR), the enterprise data cloud company, today launched Cloudera
Machine Learning, the enterprise machine learning service for the
new Cloudera Data Platform. Cloudera Machine Learning makes it easy
for IT to say yes to self-service data science for business at
scale.
"With Cloudera Machine Learning, businesses can rapidly deploy
new ML Workspaces or virtual machine learning environments for
teams in a few clicks, providing self-service access to the shared
data and tools required for end-to-end machine learning workflows,
anywhere," said Priyank Patel, Head
of Machine Learning Products at Cloudera. "By lowering the barriers
to innovation and differentiation with enterprise machine learning,
Cloudera Machine Learning enables rapid onboarding and agile
experimentation at scale for data science teams."
The new machine learning service on the Cloudera Data Platform
provides data scientists, data engineers, and machine learning
engineers with:
- Instant workspaces - deploy new machine learning
workspaces for teams in a few clicks, with access to the project
environments and resources they need for end-to-end machine
learning.
- Rapid replication - provide democratized access to
replicate data sets across hybrid and multi-cloud environments
while maintaining enterprise data security and governance
controls.
- Choose your own tools - provide data science teams' with
access to their favorite, open data science tools while preserving
security and minimizing administrative overhead
- Elastic, auto-suspending resources - deliver the
scale-out, heterogeneous computing resources data science teams
need to get work done fast while maintaining adjustable guardrails
that help IT easily manage and optimize infrastructure resources
and costs.
- Comprehensive, cohesive user experience - data
engineering, model training, experiment tracking, and deploying and
managing production models all in one seamless environment, without
switching or stitching workflows together with multiple tools.
- Portability and consistency - the liberty
to move data and infrastructure anywhere without creating
disconnected silos and without changing the consistent
user-experience that data science teams rely on for building robust
workflows and processes for end-to-end ML.
Cloudera Machine Learning is fully integrated with the Cloudera
Data Platform (CDP) including Cloudera Data Warehouse and Data Hub,
allowing for the fast delivery of new multi-function analytics and
machine learning in any cloud. This makes it possible for
businesses to build, manage, and scale intelligent applications
fueled by data anywhere—from the Edge to AI. Cloudera Machine
Learning also fully capitalizes on the Shared Data Experience (SDX)
provided by CDP. Cloudera SDX provides consistent data security,
governance and control across all multi-function analytics, for
safe, self-service access and discovery of data at enterprise
scale.
Cloudera Machine Learning delivers a packaged experience for
data engineering and machine learning workflows offered through a
combination of consumption and per-user access pricing.
For more information on Cloudera Machine Learning on the
Cloudera Data Platform, please click here.
Additional Resources
Cloudera Machine Learning for CDP: Purpose Built for the
AI-First Enterprise
Pricing and Availability
About Cloudera
At Cloudera, we believe that data can
make what is impossible today, possible tomorrow. We empower people
to transform complex data into clear and actionable insights.
Cloudera delivers an enterprise data cloud for any data, anywhere,
from the Edge to AI. Powered by the relentless innovation of the
open source community, Cloudera advances digital transformation for
the world's largest enterprises. Learn more at Cloudera.com.
Cloudera and associated marks are trademarks or registered
trademarks of Cloudera, Inc. All other company and product names
may be trademarks of their respective owners.
This press release contains forward-looking statements
including, among other things, statements regarding the expected
performance and benefits of Cloudera's offerings. The words
"believe," "may," "will," "plan," "expect," and similar expressions
are intended to identify forward-looking statements. These
forward-looking statements are subject to risks, uncertainties, and
assumptions. If the risks materialize or assumptions prove
incorrect, actual results could differ materially from the results
implied by these forward-looking statements. Risks include, but are
not limited to, risks described in our filings with the Securities
and Exchange Commission (SEC), including our quarterly and yearly
reports that we file with the SEC from time to time, which could
cause actual results to vary from expectations. Cloudera assumes no
obligation to, and does not currently intend to, update any such
forward-looking statements after the date of this release.
View original content to download
multimedia:http://www.prnewswire.com/news-releases/cloudera-launches-new-cloud-native-machine-learning-service-for-cloudera-data-platform-to-empower-the-ai-first-enterprise-300923909.html
SOURCE Cloudera, Inc.