Discover How Hadoop and HDP Help Enterprises
Many types of industries are finding new opportunities from an abundance of new types of data stored at scale in Hadoop, combined with Hadoop’s ability to process that data at lower costs than...
View ArticleFind Out How They Do Hadoop: Watch the Customer Videos
Leading enterprise organizations have concluded that YARN-enabled Hadoop is foundational to their modern data architectures. These companies subscribe with Hortonworks (and implement Hortonworks Data...
View ArticleHadoop Helps Retailers Connect with Their Customers
As retailers embark on taking advantage of big data, they are increasingly looking to the Apache Hadoop platform and the partner ecosystem that surrounds it to solve their most pressing challenges. Our...
View ArticleHDP for Retailers: Common Data Challenges
Changes in technology and consumer expectations create new challenges for how retailers create a single view of their customers, predict consumer preferences and discover fine-grain detail to manage...
View ArticlePier 1 Imports Finds a Better Connection with Customers Through Cloud Machine...
Guest writer Kristian Kimbro Rickard, Founder & CEO of Microsoft Silver Competency Cloud Partner MAX451, contributed to this post describing her experience working with Microsoft and Hortonworks to...
View ArticleHow Machine Learning Keeps Retailers Ahead of Trends
This blog is jointly submitted by Alexander Gray, Ph.D., is chief technology officer, Skytree, a Hortonworks Technology Partner, and Eric Thorsen, general manager, consumer products and retail,...
View ArticleThe Data Scientist and “Unknown Unknowns” in Big Data Discovery
Our guest blogger today is Rob Rosen, Senior Director Partner Solutions at Platfora, describes how to help customers achieve strategic advantage through data discovery. While many people have heard the...
View ArticleIs a Lake Big Enough to House Your Ocean of Data?
Is a Lake Big Enough to House Your Ocean of Data? Contrary to popular belief, Hadoop was not the elephant-in-the-china-shop that marauded and disrupted the data center. The real culprit is data and how...
View ArticleClik here to view.
Leveraging Big Data to Drive Retail Consumer Demand
This post was co-authored by Eric Thorsen, Hortonworks GM for CPG and Retail, and Jeff Seibert, Analytics Strategist at Blue Granite. More and more, consumers interact with their retailers through...
View ArticleSpark & HDP Perfect Together
Apache Spark’s momentum continues to grow and throughout 2015 we saw customers across all industries get real value from using it with the Hortonworks Data Platform (HDP). Examples include: Insurance...
View ArticlePanel of Enterprise Hadoop Users
Customers’ Hadoop Journey We’ve all had two weeks to reflect on Hadoop Summit 2014. One of the biggest differences that stood out in this year’s Summit (as compared to Summit 2013) was the presence of...
View ArticleAccenture and Hortonworks Announce Alliance
Today we are delighted to announce the formal partnership between Accenture and Hortonworks, which is the continuing evolution of the ongoing collaboration between the two companies which started in...
View ArticleDiscover How Retailers Do Hadoop
Modern retailers collect data from a multitude of consumer engagement channels, including point of sale systems, the web, mobile applications, social media, and more. They hope to use this data to...
View ArticleSTORM and SOLR for Sentiment Analysis & Continuous Repricing for Retailers
ITC Infotech is a Hortonworks consulting and integration partner and provides IT services and solutions to leading global customers. The company addresses a wide range of customer challenges through...
View ArticleWebinar Recap “Retail Insights: What’s Possible With a Modern Data Architecture”
Last week’s Hortonworks webinar “What’s Possible with a Modern Data Architecture?” featured Greg Girard, program director for omni-channel analytics strategies at IDC Retail Insights and Mark...
View ArticleIntro: Play-by-Play: Data Hacks & Demos @ #HS16SJ
So, it’s been a month since Hadoop Summit San Jose, where over 5000 of the leading tech innovators in big data came together to share their inventions, wisdom and know-how. One of the sessions – a...
View ArticleDemo #1 Play-by-Play: Data Hacks & Demos @ #HS16SJ
Match image to an identifier, correlate with data and initiate personalized, real time electronic convo with customer in store During the 1st demo of the Data Hacks & Demos session, at Hadoop...
View ArticleDemo #2: Play-by-Play: Data Hacks & Demos @ #HS16SJ
Apache NiFi to prioritize which images should be sent to Spark in the cloud for computer vision machine learning During the 2nd demo of the Data Hacks & Demos session, at Hadoop Summit San Jose,...
View ArticleDemo #3: Play-by-Play: Data Hacks & Demos @ #HS16SJ
Use IoT to get real-time feedback on customer preferences and respond to them During the 3rd demo of the Data Hacks & Demos session, at Hadoop Summit San Jose, it was audience participation time!...
View ArticleDemo #4 & Summary: Play-by-Play: Data Hacks & Demos @ #HS16SJ
Streaming analytics to create an accurate single buyer identity in real-time The 4th and final demo of the Data Hacks & Demos session, at Hadoop Summit San Jose, was done by Simon Ball and it...
View Article
