Concurrent grabs $4M to make ‘big data’ app development on Hadoop easier. How can big data and smart analytics tools ignite growth for your company? Find out at DataBeat, May 19-20 in San Francisco, from top data scientists, analysts, investors, and entrepreneurs. Register now and save $200! “Big data” startup Concurrent has raised $4 million in its first round of funding with a goal to help app developers use Apache Hadoop to build more robust data-intensive applications. San Franciso-based Concurrent was founded in 2008 and offers a popular open-source product called Cascading, which it claims is the “most widely used and deployed application framework” for building apps with Hadoop. Today’s investment was led by True Ventures and Rembrandt Venture Partners. Concurrent also used today’s announcement to reveal that it has appointed Gary Nakamura as its new CEO.
“Our investors’ confidence in Concurrent validates our strategy and the pioneering work we have done since the launch of Cascading in 2008,” Nakamura said in a statement. Hadoop Creator Outlines the Future of Big Data Platform. CIO — Apache Hadoop, the open source software framework at the heart of big data, is a batch computing engine. It is not well-suited to the online, interactive data processing required for truly real-time data insights. Or is it? Doug Cutting, creator of Hadoop and founder of the Apache Hadoop Project (and chief architect at Cloudera) says he believes Hadoop has a future beyond batch. "I think batch has its place," Cutting says. "If you're moving bulk amounts of data and you need to really analyze everything, that's not about interactive.
But the combination of batch and online computation is what I think people will really appreciate. " "I really see Hadoop becoming the kernel of the mainstream data processing system that businesses will be using," he adds. Where Hadoop Stands Now Speaking at the O'Reilly Strata Conference + Hadoop World in New York City, Cutting explains his thoughts on the core themes of the Hadoop stack and where it's heading. "It's also very efficient," Cutting says. Hortonworks releases a Hadoop sandbox | Business Intelligence. January 22, 2013 By Joab Jackson | IDG News Service Those who want to try the much-hyped Hadoop but haven't got a cluster or two to spare can now test the data processing platform on their desktops, thanks to a new release from Hadoop distributor Hortonworks.
Hortonworks Sandbox is a single-node implementation of Hadoop, one based on the Hortonworks Data Platform. Packaged in a virtual machine, it includes all the typical components found in a Hadoop deployment, including the HCatalog storage management subsystem, the Hive data warehouse and the Pig set of data analysis tools. [ Harness the power of Hadoop with InfoWorld's 7 top tools for taming big data. | Discover what's new in business applications with InfoWorld's Technology: Applications newsletter. ] The package also offers a number of tutorials that show users how to execute Hadoop data analysis tasks, according to Cheryle Custer, who is the Hortonworks director of services marketing. Google BigQuery update aims for enticing Hadoop users | Data Management. Hoping to lure more Apache Hadoop users to its own data analysis services, Google has outfitted BigQuery with the ability to query multiple data tables. "Joining terabyte-sized tables has traditionally been a challenging task for data analysts, requiring sophisticated MapReduce development skills, powerful hardware, or a lot of time -- often all three," wrote Ju-kay Kwek, Google BigQuery product manager, in a blog post announcing the update.
"Today with BigQuery you can get directly to business insights using SQL-like queries, with far less effort and far greater speed than you could before. " [ Andrew C. Oliver answers the question on everyone's mind: Which freaking database should I use? | Keep up with the latest approaches to managing information overload and compliance in InfoWorld's Enterprise Data Explosion Digital Spotlight. ] Launched in 2010, BigQuery has been marketed by Google as an interactive service for parsing large amounts of data. Hortonworks brings Hadoop to Windows | Business Intelligence.
Hortonworks is bringing the popular open-source Apache Hadoop data processing platform to Microsoft shops. The company has released a beta version of its Hortonworks Data Platform (HDP) Hadoop distribution for Windows and expects to release the final, enterprise-ready version in the months to come. [ Also on InfoWorld: Hadoop will be in two-thirds of advanced analytics products by 2015. | Harness the power of Hadoop with InfoWorld's 7 top tools for taming big data. | Discover what's new in business applications with InfoWorld's Technology: Applications newsletter. ] HDP is "the first and only distribution of Hadoop available on both Linux and Windows," said David McJannet, Hortonworks vice president of marketing.
According to McJannet, Hortonworks heard a lot of demand from potential customers for a Hadoop distribution that would run on the Microsoft platform. "The real catalyst is, frankly, market demand. Intel releases Hadoop distribution primed for its own chips | Big Data. Intel has released its own Hadoop distribution in a move intended to accelerate adoption of the big data platform while ensuring more of those workloads run on Intel's own Xeon processors. The Intel Distribution for Apache Hadoop includes core pieces of the data analysis platform that Intel is releasing as open-source software, as well as deployment and tuning tools that Intel developed itself and which are not open source. [ Also on InfoWorld: Hadoop will be in two-thirds of advanced analytics products by 2015. | Harness the power of Hadoop with InfoWorld's 7 top tools for taming big data. | Discover what's new in business applications with InfoWorld's Technology: Applications newsletter. ] Organizations will be more willing to expand their investments in Hadoop if they know there's a consistent distribution backed by a big, stable vendor like Intel, said Boyd Davis, general manager of Intel's data center software division, at a launch event in San Francisco Tuesday.
The Platform for Big Data and the Leading Solution for Apache Hadoop in the Enterprise - Cloudera. How Google+ Could End Up More Valuable than Facebook. Yahoo COO Henrique De Castro: The Future Of The Web Will Be Personalized. At the DLD conference in Munich today, Henrique de Castro, Yahoo’s new COO and Google’s former president of partners business solutions discussed the state of the web today and his vision for its immediate future. Sadly, de Castro argued that he couldn’t really talk about Yahoo itself, given that he’s only been there for eight weeks now. Still, his ideas about the future of the web itself can probably provide us with some hints about Yahoo’s future, too. Looking back, de Castro argued that Web 1.0 was obviously a great revolution, but at the time, content was still missing. Publishers then started putting their content on the web, but they still came from the old print world (hence the word ‘pageview’).
After portals, we arrived at the age of the search engine, which “segregated the container,” allowing users to create their own experience. Now, we are in the age of the social web, said de Castro: you can find everything you want and you and your friends can share it with each other. Yahoo COO Henrique De Castro: The Future Of The Web Will Be Personalized | TechCrunch | interest graph marketing. Yahoo COO Henrique De Castro: The Future Of The Web Will Be Personalized.
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