{"id":641268,"date":"2013-02-05T09:00:22","date_gmt":"2013-02-05T14:00:22","guid":{"rendered":"http:\/\/gigaom.com\/?p=605503"},"modified":"2013-02-05T09:00:22","modified_gmt":"2013-02-05T14:00:22","slug":"think-big-analytics-wants-to-help-companies-make-the-most-of-hadoop","status":"publish","type":"post","link":"https:\/\/mereja.media\/index\/641268","title":{"rendered":"Think Big Analytics wants to help companies make the most of Hadoop"},"content":{"rendered":"

A big-data-analytics consulting company launches Tuesday with $3 million in seed funding, under the name Think Big Analytics<\/a>. Established in 2010, Think Big seeks to help companies start making the most of their data in the most cost-effective ways.<\/p>\n

Former Cisco executive Dan Scheinman<\/a> led the round of funding for Think Big, which is based in Mountain View, Calif. WI Harper Group<\/a> joined in the round, too. The company will primarily use the seed funding to add people to its data science and data engineering teams.<\/p>\n

When Think Big first started, many customers didn\u2019t know what big data was, said Ron Bodkin, Think Big\u2019s CEO and a co-founder. Use cases have evolved since then, he said, and demand for big data analytics has grown.<\/p>\n

Think Big has already worked with NetApp and Quantcast, as well as a U.S. telecommunications company. Use cases vary from early-stage adoption to quests for better efficiency.\u00a0Think Big has helped a large retailer institute a big data architecture to give tailored recommendations to customers based on their input\u00a0during in-store visits, phone calls and mobile interactions. Think Big guided a different retailer as it transferred from a legacy Teradata Corp. appliance to a Hadoop cluster, thereby dropping query times from six hours to four minutes.<\/p>\n

Think Big employees have a few ways to respond to the demand. They could assist a client in prioritizing use cases before working with a Hadoop vendor such as Cloudera or Hortonworks, Bodkin said. A client could also send as many as 20 developers to a three-day hands-on Think Big course covering Hadoop, MapReduce, Hive, Pig and other topics. Courses for non-developers and executives are also available.<\/p>\n

Other companies don\u2019t block Think Big\u2019s development as much as reliance on tried and true methods for analyzing data, said Bodkin, who will speak at our\u00a0Structure:Data conference<\/a>\u00a0in March.<\/p>\n

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