Get fresh updates from Hortonworks by email

Once a month, receive latest insights, trends, analytics information and knowledge of Big Data.

cta

Get Started

cloud

Ready to Get Started?

Download sandbox

How can we help you?

closeClose button
November 13, 2017 | Matt Spillar | Hortonworks Case Study

How Nissan is Harnessing Big Data to Provide Value to Customers

November 10, 2017 | Syed Mahmood | Announcements

Certification of IBM Data Science Experience (DSX) on HDP is a Win-Win for Customers

November 9, 2017 | Will Xu | Hadoop Ecosystem

Ambari Kerberos support for HBase Part 1

Viewing posts by: Matt Spillar« Back to all

X
FILTERS
ALL
TECHNICAL
BUSINESS

All Topics















All Channels











CLEAR FILTERS

Late last year Amazon made waves when reports surfaced that they were testing out a new retail store location in downtown Seattle. Not only is the fact that Amazon is experimenting with retail locations newsworthy, but their plans will transform grocery stores as we know them. The new stores have no cashiers or checkout lines. […]

Author: Vinay Shukla, Hortonworks, Huzefa Hakim, IBM On June 13th, 2017, Hortonworks and IBM announced the extension of our partnership. A key part of this partnership is the collaboration on IBM’s Data Science Experience. This collaboration is win-win in that it brings a production-ready full cycle data science experience to HDP customers and provides DSX […]

Last Saturday, the Financial Times published an article titled, “BP looks to big data to help weather weak oil price” which explained why BP is expanding their data storage from one petabyte to six petabytes. It almost seems counter-intuitive, especially in an age of increased competition and renewable energies. Yet BP, along with the rest […]

Retailers must adapt to the ever-changing demands brought on by new technological advancements, or be forced to close their doors. It used to be that the customer is always right. However, with real-time notifications and 24-hour social media, we are in the era of the customer is always right now. Data Magic Secrets Revealed Companies […]

Last month, at our DataWorks Summit in San Jose, we were treated to a host of keynote speakers from a variety of industries, all leveraging the power of Big Data and Hortonworks to usher in groundbreaking, and even life-saving, transformation to their respective industries. One of the speakers was Dr. Wade Schulz, Resident Physician and […]

Tuesday night I had the opportunity to visit Hacker Lab, where the Sacramento Women in Data Science hosted Dr. Ian Brooks, one of our super-talented Solutions Engineers. SWDS has over 500 members and regularly hosts data science events to help grow the data science and analytics community for, but not exclusive to, women. Groups such as […]

Recently Raj Verma (President & COO of Hortonworks) spoke to Jim McHugh from Nvidia at the DataWorks Summit keynote in San Jose (video). Jim began by talking about how parallel processing that is used in gaming is also essential to Deep Learning*. And the lifeblood of Deep Learning is data. With its insatiable desire for […]

When it comes to matters of health, the difference between losing a patient and saving one can be measured in seconds. Clearsense helps healthcare organizations leverage their Big Data, so these organizations can give their patients the best opportunity for life. Check out our new case study on Clearsense! Clearsense is a smart data organization based […]

Healthcare organizations must effectively manage mountains of  data of all types, and from countless sources. Clearsense is a smart data organization based in Jacksonville, Florida that re-imagines data analytics to help healthcare organizations realize measurable value from their Big Data. Big Data Clarity at Clearsense Clearsense develops cloud-based applications based upon Hortonworks 100% open-source Connected […]

Large-scale Machine Learning The ability to learn without being explicitly programmed, Machine Learning, has been around for a long time and is well understood. What is different is the relatively recent emergence of general purpose tools, such as Apache Spark, that enable processing of very large datasets. Additionally, data scientists can now collaborate and rapidly […]