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
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...
Hortonworks recently announced a partnership with IBM. A key part of this partnership is the collaboration on IBM’s Data Science Experience (DSX). DSX fully addresses the entire Data Science lifecycle....
In the financial services industry, fraud becomes an ever-increasing concern as the world becomes more connected through the web, electronic payments, mobility, and ever-changing technologies. The amount of data that...
The financial services industry encounters a variety of unique challenges with data. These companies not only need the ability to process huge amounts of data from traditional and non-traditional sources,...
Data Virtualization: Enabling Faster Adoption of...
Recent versions of Hortonworks Data Platform (HDP) introduced several innovations in the areas of security, data governance, business cataloging, query optimization, visualization, and backup-and-restore. To help us keep pace with...
Apache, Hadoop, Falcon, Atlas, Tez, Sqoop, Flume, Kafka, Pig, Hive, HBase, Accumulo, Storm, Solr, Spark, Ranger, Knox, Ambari, ZooKeeper, Oozie, Phoenix, NiFi, HAWQ, Zeppelin, Atlas, Slider, Mahout, MapReduce, HDFS, YARN, Metron and the Hadoop elephant and Apache project logos are either registered trademarks or trademarks of the Apache Software Foundation in the United States or other countries.