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Treasure Data Launches Cloud-Based Data Warehouse With Investment From Ruby Creator Yukihiro “Matz” MatsumotoCloud-based data warehouse company Treasure Data officially opened its doors this week with $1.5 million in funding that includes an investment from Yukihiro “Matz” Matsumoto – the creator of the Ruby programming language. The other investors include angel investor Bill Tai; Naren Gupta of Nexus Venture and a director with Red Hat and TIBCO, as well as the people behind Gluster and Heroku. Gluster sold to Red Hat last year and Heroku is now part of Salesforce.com. Treasure Data has developed a service that brings high-end analysis to the business or business unit that has traditionally not had the resources to afford a solutions from companies like IBM, Oracle or Teradata. Founder and CEO Hiro Yoshikawa says the total cost of ownership for a data warehouse suite from one of the enterprise players can cost as much as $5 million.
Late last year I posted a blog item about big data and if/when it would present opportunities for storage vendors. I concluded by saying that, while it was a bit early for next-year prognostications, I expected to see the number of storage devices aimed at analytics applications blossom in 2011 with more storage vendors pursuing the opportunity. It's now 2011 and I stand by that prediction.
There’s a cute story on the eighty-fifth page of Facebook’s I.P.O. prospectus—its S-1—the massive regulatory filing the company sent to the S.E.C. Wednesday afternoon. It appears in a section called “business,” in which Facebook tells potential investors what it does. “CM Photographics, a wedding photography business based in Minneapolis, Minnesota, used Facebook ads to reach the users it cared most about: women aged 24 to 30 living near Minneapolis who shared their relationship status on Facebook as ‘engaged.’ ”
Luke Timmerman 2/3/10 Google is the undisputed king of Internet search and advertising, but its second act as a company might be to invent a new computer model for efficiently discovering targeted antibody drugs. “Google is committing incredible resources to it.
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Today, Google announced Google Exacycle for Visiting Faculty , a new academic grant program that will provide 1 billion hours of computational core capacity to a small group of qualified researchers. These researchers are tackling a variety of problems that require massive amounts of computational power to advance their disciplines. In the future, we think that Google Exacycle could also help companies create new business opportunities in a variety of industries, including human genome sequencing in biotech, Monte Carlo simulations in financial services, and complex rendering and CGI in entertainment, as well as address other challenging issues in energy, agriculture, and manufacturing.
<img src="http://s.radar.oreilly.com/2011/06/01/060211-goog-correlate.png" border="0" width="224" alt="Google Correlate" style="float: right;margin: 3px 0 10px 10px" /> Google Correlate is awesome. As I noted in Search Notes last week, Google Correlate is a new tool in Google Labs that lets you upload state- or time-based data to see what search trends most correlate with that information. Correlation doesn’t necessarily imply causation, and as you use Google Correlate, you’ll find that the relationship (if any) between terms varies widely based on the topic, time, and space.
The recent news about Starbucks accepting mobile payments got me thinking about how merchants are starting to personalize the retail payment experience just like so many online merchants have done for the online shopping experience. Square is doing this for P2P in many ways: if you listen to Jack Dorsey speak on Charlie Rose, he talks about how " It's really complex to Make Something Simple.
Personalization tools help customers with purchases and let merchants cross sell By Charles Waltner Explore Inc., a Chicago travel company with an extensive Web site for adventure-travel advice, products, and services, has developed enough information to keep any globe-trotting soul happy. But with more than 50,000 pages of dynamic content and 1,056 separate trips just for hiking, trekking, and walking, visitors to iExplore needed a tour guide just to find their way around.
Lauren Freedman, president of The E-tailing Group Personalization is becoming far more common on retailers’ web sites as merchants seek to bolster their bottom line with upsells and cross-sells, according to a new report and survey from personalization technology vendor MyBuys Inc. and research firm The E-tailing Group Inc. The report found that 42% of merchants say they provide some personalization , 26% say their post-order e-mails are sent based on consumers' previous purchases, 25% say their site greets returning consumers by name and 18% say their site recommends products based on past customer purchases. Each of those features are set to rise, as 34% say they plan to add personalization this year. Moreover, 52% of merchants say they plan to pursue personalization initiatives to improve their sites’ performance, up 26.8% from 41% in 2009.
Welcome to the part II of Difference between BI and ERP reports. . Before proceeding further, let me tell you that the target audience for this blog post is Business User. However, even if you are an IT professional, you are welcome to read it and give your comments (though you will find it a bit simple but that is because it is intended for Business users). I got a pretty encouraging response to my first post on this topic. The very first response I got after posting this thread's link in my LINKED IN profile was “what is the difference between BI and DW (read.
BeachMint Inc., the e-commerce company behind such subscription-based fashion e-retail sites as JewelMint.com, StyleMint.com and BeautyMint.com, has raised $35 million in its latest funding round, bringing its total funding to more than $75 million. The retailer, which launched late in 2010, says it intends to use the money to expand to new markets and that it will launch two more e-commerce sites in the coming months. New investors who participated in this investment round include venture capital firms Accel Partners and New World Ventures, as well as investment bank Goldman Sachs. Existing investors also participated. Accel Partners’ CEO-in-residence, Greg Waldorf, joins BeachMint’s board with the investment. Waldorf was CEO of online dating site eHarmony.com from 2008 to early 2011.
In the face of growing competition from LivingSocial.com and other online daily-deal companies, Groupon is rapidly introducing services and features aimed at pleasing its merchant participants, still mostly local businesses, although a few national retailers like Gap and American Apparel have tested Groupon offers as well. Among these features is the merchant-facing hub called GrouponWorks.com that helps business owners calculate how many vouchers they should offer based on their capacity, industry and such specialized data as a restaurant’s table turn rate or the number of sales clerks on staff. If a manicurist with a small shop wanted to offer 3,000 vouchers, Groupon likely would advise against it. “We want merchants to have a good experience,”says Rob Solomon , the daily-deal site’s president and chief operating officer. Cynthia Bruce, operator of the Highland Meadows Vineyard Inn, a seven-room hostelry in Virginia, says she was well prepped by Groupon for her deal.
Groupon Chooses the Vertica Analytics Platform to Gain Insight into Subscriber and Customer BehaviorGroupon, a shopping Web site that offers daily deals on the best local goods, services, and events, has chosen the Vertica Analytics Platform for analyzing subscriber behavior and to scale its business intelligence capabilities. The Vertica Analytics Platform was selected after an evaluation process where Vertica surpassed other companies in meeting Groupon’s requirements for parallel data loading, query performance, and simplicity. Vertica’s ability to deploy on the Amazon Elastic Cloud Computing (EC2) offering was also appealing to Groupon. Groupon, having chosen Vertica, is now in a position to analyze the relationships among its massive amounts of data and to associate revenue and other metrics to individual users. “As Groupon continues its rapid expansion into new markets, we see advanced analytics as a key component to achieving our subscription, revenue, and customer satisfaction targets,” said Mark Johnson, chief data officer at Groupon, in a statement.
By Steve Hendershot When Chicago entrepreneur Ross Shelleman bought the rights to introduce PODS moving and storage facilities in Australia in 2006, he and partner Andrew Hamilton quickly noticed it was challenging to identify potential customers; traditional database marketing yielded poor results. So Mr. Shelleman built a new system to identify homes listed for sale, introduced it in 2008 and had much better success. Soon he and Mr.