ORLANDO, Fla., Sept. 25, 2018 /PRNewswire/ -- MICROSOFT
IGNITE – Cloudera, Inc., (NYSE: CLDR), the modern platform
for machine learning and analytics optimized for the cloud,
announced today three solutions and cloud services operated on
Microsoft Azure that enable data-driven enterprise organizations to
capitalize on large-scale data sets in the cloud more easily and
cost-effectively.
Click to Tweet: NEWS: @Cloudera leverages
Microsoft @Azure to supercharge enterprise
#MachineLearning and #Analytics for multi- or hybrid-cloud
strategies: http://bit.ly/2MTBmxz
As businesses plan their digital transformation journeys, they
are finding that the key to success is taking control of their data
and the infrastructure needed to unlock data value. To do so, they
must detach from any one particular deployment model and have the
freedom to deploy on-premise, hybrid cloud or multi-cloud
strategies as needed. Consequently, many enterprises are evaluating
the public cloud as an initial step to modernize their data
warehouse environment and begin to explore machine learning and AI
solutions for their business.
Microsoft Azure is positioned to support data-driven companies
given the breadth of their cloud and data center offerings.
Cloudera, as Microsoft 2018 Global Partner of the Year for open
source data and AI, is a modern data warehouse and AI platform
built for the cloud to help businesses meet their needs for scale
and put the promise of big data within reach. Working together,
Cloudera and Microsoft offer businesses a way to supercharge their
business by capitalizing on public cloud scale and hybrid cloud
flexibility for machine learning, data warehousing, and AI
solutions.
"The cloud is enabling businesses to process data sets at larger
scale more easily and cost-effectively than ever before," said
Vikram Makhija, general manager of
Cloud at Cloudera. "Through our close relationship with Microsoft,
Cloudera is able to empower customers to create and own their
digital transformations with a platform that will support data
workloads wherever they decide to run them."
Key Cloudera for Azure Machine Learning and Data Warehousing
Offerings Include:
- Altus Cloud on Azure:
Enterprises can take advantage of the full suite of Altus Cloud offerings from Cloudera to automate
massive-scale data engineering and data warehouse workloads on
Microsoft Azure. Cloudera delivers on the promise of dynamic
environments that foster experimentation and collaboration using a
shared data experience and on-demand resource consumption while
maintaining the mandates of governance and security. Cloudera Altus
Cloud on Azure utilizes Azure Data Lake Store (ADLS), an
enterprise-wide, hyper-scale repository for big data analytics
workloads, enabling businesses to capture data of any size, type,
and ingestion speed in one single place for operational and
exploratory analytics.
- Customer 360 on Azure Marketplace with Bardess, Trifacta,
and Qlik: Cloudera has worked with Bardess, Trifacta,
and Qlik to create a platform for customer 360 workloads available
on the Microsoft public cloud in minutes. This solution provides a
holistic, 360-degree view of customer records that captures
different data types, aggregates and prioritizes up front, and
applies analytics to drive personalization/relevancy, reduce
customer churn, and deliver a better customer experience across
channels.
- Credit Risk solution on Azure Marketplace with RCG, Cazena,
and Trifacta: Cloudera has worked with RCG Global
Services, Cazena, and Trifacta to develop a comprehensive solution
to manage risk of loan portfolios, maximize risk-adjusted rate of
return, minimize capital reserve requirements and strengthen
compliance. It's a solution that is ready for you to use – only
your loan data is needed. It provides the ability to assess your
full loan portfolio using a secure, flexible, and expandable
solution and technologies and includes quick-start support from
RCG.
Click to schedule a chat with Cloudera experts in our booth #640
at Microsoft Ignite to learn more about how Cloudera on Azure
enables today's enterprises to elevate data and analytics to become
true data-driven organizations.
Availability
Generally available now:
- Cloudera Enterprise 6.0
- Cloudera SDX unified metadata control with Cloudera Altus
- Cloudera Altus Data Warehouse
- Cloudera Data Warehouse
- Cloudera Workload XM
Additional Resources
- Read our latest blogs:
-
- Introducing Cloudera Enterprise 6.0
- Delivering a Shared Multidisciplinary Analytics Experience
Anywhere with SDX & Altus
- Altus Data Warehouse
- A New Era in Data Warehousing
Connect with Cloudera
About Cloudera:
cloudera.com/more/about.html
Read our VISION blog: vision.cloudera.com/ and Engineering blog:
blog.cloudera.com/
Follow us on Twitter: twitter.com/cloudera
Visit us on Facebook: facebook.com/cloudera
See us on YouTube:
youtube.com/user/clouderahadoop/featured
Join the Cloudera Community: community.cloudera.com/
Read about our customers' successes:
cloudera.com/more/customers.html
For information on Cloudera Enterprise and
SDX:cloudera.com/products/sdx.html
Cloudera and associated marks and trademarks are
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 Form S-1 Registration
Statement, and our future reports that we may 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.
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SOURCE Cloudera, Inc.