Data Science is an interdisciplinary field that combines machine learning, statistics, advanced analysis, and programming. It is a new form of art that draws out hidden insights and puts data to work in the cognitive era.
Data Scientists Need a Platform That Addresses Their Pain Points
Data from multiple sources need to be sourced, cleansed and transformed
Continuously learn new tools, technologies & libraries
Socializing insights among team members is challenging
Operationalizing models is cumbersome
Hortonworks & IBM
are jointly engineering & delivering a NextGen Data Science solution.
Bringing together the best of
Hortonworks Data Platform
Data Science Experience
Introducing Enterprise Data Science @ Scale
Leverage enterprise-grade security, governance and operations
Enhance productivity by enabling data scientists to use their favorite tools, technologies and libraries
Compress the time to insight by deploying models into production faster
Build more robust models by using all the data in the data lake
Teaming on Data: IBM and Hortonworks...
By Rob Thomas, General Manager, IBM Analytics. This story first appeared on the IBM Big Data & Analytics Hub. Data is driving business. And as volumes climb with no end in...
Empowering Collaborative Advanced Analytics across Utility...
This webinar will discuss the emergence of the Data Science Platform as an integrated and collaborative environment for empowering advanced analytics across the utility enterprise. A successful Data Science Platform...
Data Science is being hailed as the next battleground for competitive differentiation that has the potential to transform businesses across industries. Too often enterprises fail to realize the full potential...
Government agencies must be able to connect, collect, and curate data from a broad spectrum of connected yet disparate data sources – sensors, machines, geo-location devices, social feeds, server logs,...
Hortonworks is a true hybrid data company. For almost a decade, the company has been helping customers build a hybrid data warehouse by leveraging the cost-efficiency, storage scalability, and extensive...
Omni-Channel's Relentless Progression The traditional retail operating model is based on a time-honored concept: consumers begin and end their shopping experiences in one place, usually the store. In the 1990’s,...
Data Lifecycle Manager (DLM) delivers on the promise of location-agnostic, secure replication — enabling data to be encapsulated and copied seamlessly across the physical private storage and public cloud environments...
This blog focuses on on-prem to on-prem HDFS replication for HDP clusters using Hortonworks Data Lifecycle Manager (DLM), an extensible service built on the Hortonworks DataPlane Platform. Introduction to DLM...
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