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Two-Hour Workshop with Qubole Solutions Architect Scheduled for Global Big Data Conference Event on July 18
Mountain View, CA (PRWEB) July 18, 2014
Qubole, a leading provider of the next generation Cloud Big Data platform, announced their participation in the Big Data Bootcamp this week. The event has an intensive three-day technical agenda on Hadoop, NoSQL, and Machine Learning, and boasts hands-on learning for delegates with and without technical backgrounds. It will be held at the Santa Clara Convention Center from July 18th 20th, 2014.
Ashish Dubey, Solutions Architect at Qubole, will be leading the two-hour workshop focused exclusively on Hive. The session will be held on July 18th, the first day of the Big Data Bootcamp, from 6:00 p.m. to 8:00 p.m. on the Hadoop track.
If you are considering opportunities in the rapidly-growing Big Data industry, this is an excellent way to get experience with real Hadoop clusters and handling real data, said Dubey. I anticipate a large group of dedicated trainees, and I look forward to teaching them the wealth of knowledge that Qubole has built in Hive techniques.
To learn more about Quboles thought leadership, please contact Walter Paley, Marketing Manager, by email at Walt(at)Qubole(dot)com.
Qubole is a leading Big Data as a Service provider. Ashish Thusoo and Joydeep Sen Sarma, creators of Facebooks big data infrastructure and Apache Hive, founded Qubole to make it simple to prepare, integrate, and explore Big Data in the cloud.
Quboles Big Data-as-a-Service Solution, Qubole Data Service (QDS), runs on the top performing elastic Hadoop engine on the cloud and includes a library of data connectors with a graphical user-interface for Hive, Pig, Ooze, and Sqoop. QDS makes it easy to inspect data, author, and execute queries, and convert queries into scheduled jobs. With QDS, the power of Big Data meets the simplicity of the cloud.
The largest brands in social media, online advertising, entertainment, gaming, and other data-intensive ventures trust QDS to handle their most challenging Big Data requirements at a fraction of the cost of alternatives. Customers include Pinterest, Quora, MediaMath, Insightera, Vocanic, TubeMogul, Decide.com, BigCommerce and many others.
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