Tag: Hadoop

Programming Tips
Jason Xin 0
Partitioning in Hadoop, sorting in SAS--same results, different methods

SAS In-Memory Statistics for Hadoop is a single interactive programming environment for analytics on Hadoop that  integrates analytical data preparation, exploration, modeling and deployment. It’s principle components are the IMSTAT procedure (PROC IMSTAT) and the SAS LASR Analytic Engine (or SASIOLA engine for input-output with LASR). Within the SAS In-Memory Statistics

Gastbeiträge 0
Gastbeitrag: "Being Data Driven with Hadoop"

We asked Lars George, EMEA Chief Architect at Cloudera, to share his opinion about Hadoop, Big Data and future market trends in Business Analytics. For all those who want to know more about Hadoop we recomment this TDWI whitepaper and how to apply Big Data Analytics.  The last few years

Guido Oswald 0
Data Day Zürich - wir laden herzlich ein!

Da war doch mal was, Sie erinnern sich, Hoodiejournalismus?! In dieser Diskussion über Digital gegen Print, jung gegen alteingessen, #hoodie vs. #schlipsy, über was ist Premium oder was ist hautnah dabei, über was erscheint modern, zeitgemäß und innovativ oder was bezahlt die Miete am Ende des Monats, ist ein Punkt

Vincent Cotte 0
Taking the big data dive with Hadoop

Demand for analytics is at an all-time high. Monster.com has rated SAS as the number one skill to have to increase your salary and Harvard Business Review continues to highlight why the data scientist is the sexiest job of the 21st century.  It is clear that if you want to be

Alison Bolen 0
3 ways to use SAS with Hadoop (video)

How does Hadoop fit into your IT architecture? Does it replace your data warehouse, or complement your EDW? How can you access data in Hadoop? And what is the best way to take advantage of the parallel processing capabilities of Hadoop for advanced analytics? These and other questions are answered

Alison Bolen 0
Paul Kent on Hadoop, SAS and elevators

Paul Kent, SAS VP of Big Data talks to us at SAS Global Forum about working with Hadoop and the significant impact it has on SAS customers. Watch the video to learn how one Japanese real estate company used this technology to gather data from elevator stops in high-rise buildings. The

Data Management
Paul Kent 0
Five big data predictions for 2013

My predictions for "big data" in 2013 were recently published in the Fourth Quarter 2012 issue of Loyalty Management Magazine, and I wanted to share them here too: Streaming data from gadgets, cars and other devices will become an even bigger and more important data source. Social data will be used

Data Management
David Sweenor 0
Adventures in the Hadoop zoo

For some odd reason, the open-source Apache Hadoop ecosystem consists of cleverly named components that seem to have escaped from the Central Park Zoo.  You may be aware that the little yellow elephant named Hadoop was actually a stuffed toy that Doug Cutting’s son owned. (Doug is the co-creator of

SAS Events
Waynette Tubbs 0
Why use Hadoop?

You may still believe that Hadoop is going to solve all of the world’s problems with big data. It won’t. Hadoop is a framework for storing large-scale data processing with both pros and cons for organizations.  Christopher Stevens, from Greenplum, explained that Hadoop is rapidly becoming the go-to for big

Steve Polilli 0
A strategic data plan pays off

Recent SAS-sponsored research by the Economist Intelligence Unit surveyed large enterprises on a number of questions about "big data" and its value. The most prominent finding was that companies with a strategic data plan were much more likely to be financially successful than those who treat data as a tactical

SAS Events
Waynette Tubbs 0
SAS Global Forum Tech Talks

sasglobalforum2012 on livestream.com. Broadcast Live Free   New this year to SAS Global Forum are Tech Talks. In this session, Chris Hemedinger is chatting with: High-Performance Data Mining Jared Dean, Director of SAS Enterprise Miner R&D Text Analytics and Sentiment Analysis: Case study of AllAnalytics.com Jim Cox, Senior Manager of

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