Cloudera to Accelerate Data Science and Machine Learning for the Enterprise with New Data Science Workbench

Cloudera to
Accelerate Data Science and Machine Learning for the Enterprise with New Data
Science Workbench

Collaborative,
Self-Service Environment for Secure Data Exploration, Visualization, and
Modeling Brings Data Scientists, Analysts, and Business Teams Together

SINGAPORE, March 15, 2017 – Cloudera, the provider of the leading global
platform for machine learning and advanced analytics built on the latest open
source technologies, today unveiled Cloudera Data Science Workbench, a new
self-service tool for data science on Cloudera Enterprise which is currently in
beta. Based on the company’s acquisition of data science startup Sense.io last
year, Data Science Workbench allows data scientists to use their favorite open
source languages – including R, Python, and Scala – and libraries on a secure
enterprise platform with native Apache Spark and Apache Hadoop integration, to
accelerate analytics projects from exploration to production.

“Cloudera is focused on improving the user experience for
data science and engineering teams, in particular those who want to scale their
analytics using Spark for data processing and machine learning,” said Charles
Zedlewski, senior vice president, Products at Cloudera. “The acquisition of
Sense.io and its team provided a strong foundation, and Data Science Workbench
now puts self-service data science at scale within reach for our customers.”

Cloudera Data Science Workbench’s benefits include:

For data scientists –

For IT professionals –

As open data science expands beyond the
extensive Python and R ecosystems to include deep learning frameworks like
Tensorflow, Microsoft Cognitive Toolkit, MXnet, BigDL, and more, data science
teams are looking for ways to bring these tools to their data, which is
increasingly stored in Hadoop environments. Cloudera Data Science Workbench
delivers a safe and secure environment to combine the latest open source
innovations with the unified platform Cloudera customers trust.

“By providing ready access to data, Cloudera Data Science
Workbench decreases time to value of AI applications delivered with the
DataRobot automated machine learning platform,” said Jeremy Achin, DataRobot
CEO and co-founder. “DataRobot is fully integrated which allows Cloudera users
to increase business value from the world’s best algorithms and data science
techniques through an easy to use interface.”

“Our customers’ IT groups often struggle to onboard data
scientists to shared environments because their needs are so diverse,
especially where open source tools are involved. The result is usually
duplication, analytic silos, and limited security and governance. Meanwhile,
data scientists are constantly looking to scale their work to larger datasets
and more powerful compute platforms,” continued Zedlewski. “With Data Science
Workbench, Cloudera is helping IT groups and data scientists work together, bringing
more users to shared environments in a way that delivers both flexibility and
compliance.”