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 & 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.
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.
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
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.
Self-service & Collaboration
Apache Zeppelin as part of HDP enhances data scientists' productivity through a collaborative environment where they can connect directly to the data sources, share their results, build on each others knowledge.
Customer Case Studies
MODERN APPLICATIONS FOR TRAVELER SAFETY, RUNNING ON HORTONWORKS CONNECTEDDATA PLATFORMS
Prescient powers its services with the Connected Data Platforms developed and supported by Hortonworks.
Hortonworks and IBM’s partnership has brought multiple joint solutions for Global Data Management to the market. From HDP on Power Systems and Spectrum Scale Storage which provides customers fast access...
Combat Modern Cybersecurity Challenges with Big...
"With great power comes great responsibility¹." As organizations harness the power in data to grow their business through initiatives like IoT, predictive analytics, single view of customers and more, now...
Streaming Data Analytics Made Easy To realize the full potential of big data streaming analytics applications, you must capture both rich, historical insights on data at rest and perishable insights...
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