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Data Science and Machine Learning

A Competitive Differentiator

Data Science Starter Kit

Overview

As the amount of data in our world continues to grow at an exponential rate, big data technologies and practices are evolving rapidly. Enterprises are now striving to evolve from descriptive analytics to predictive analytics. This need has fueled the rise of data science and machine learning (ML) as a prime enabler of data-driven predictive value. Data science offers exciting capabilities for businesses to continually unlock the potential of their data through techniques such as predictive analytics, machine learning, and data mining.
Data Science Lifecycle

Data Science & Machine Learning Using Hortonworks Data Platform

Using Hortonworks Data Platform (HDP®), businesses can greatly improve the success of these initiatives and extract maximum value from their data.

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Hadoop Data Lake
HDP leverages Apache Hadoop as the foundational platform for creating enterprise data lake by breaking down existing data silos and leveraging all the available data.

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Cloudera Data Science Workbench: Scalable Self Service & Collaboration
Newly available on HDP, Cloudera Data Science Workbench is a secure, self-service enterprise data science platform that accelerates machine learning projects from research to production. It lets data science teams experiment faster and deploy with confidence, while reducing risk and cost for IT.
Learn More

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Flexible Platform
HDP with YARN, Apache Spark, Apache Zeppelin and Apache Hive provides a comprehensive platform that enables data scientists to leverage all the tools, libraries, hardware and data at their disposal.

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IBM Data Science Experience
IBM's data science toolkit offers the most advanced analytics, open source technology, and integrated development community, all built to encourage creativity and collaboration. Learn More

Customer Case Studies

USE-CASE 1

PINSIGHT MEDIA BRINGS DATA TO LIFE WITH HORTONWORKS

Pinsight Media is the mobile data company that uses verified, network-level data to fuel intelligent brand decisions. They use Hortonworks Data Platform (HDP™) to manage their data lake.

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USE-CASE 2
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Deutsche Telekom: Reducing revenue loss from fraud with machine learning

The leading European telecom provider uses a Cloudera data platform to lower customer churn, reduce revenue losses, and improve operational efficiency.

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USE-CASE 3
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IQVIA: Increasing prediction accuracy to accelerate the pace of discovery

IQVIA is using Cloudera to empower BI staff, data scientists, and statisticians to build solutions that help reduce costs, bring new drugs to market faster, and improve patient outcomes.

Learn More