Mountain View, CA (PRWEB) March 28, 2014
Shankar’s hands-on session, titled “Analyzing Big Data with Hive”, is scheduled for Monday, March 31, 2014 from 1:15 PM to 5:00 PM. The tutorial is designed to introduce data workers to the advantages of Apache Hive. Attendees will learn the strategies and techniques that help Hive outperform traditional data warehouses built on top of relational databases.
“After our CEO’s successful talk at Big Data Tech Con in 2013, I was very excited to be invited for a half-day tutorial,” said Shrikanth Shankar. “This will be an excellent opportunity for folks to learn my favorite tricks to optimize Apache Hive in a hands-on, face-to-face learning environment.”
Operational topics may include Data Modeling in Hive, Hive Query Language constructs, features and syntax, the Hive Execution Model using MapReduce, and Advanced Optimization. Best Practices of core operations will also be discussed and demonstrated, as well as an opportunity for a Q&A. The tutorial will conclude with recommendations and insight on the future of Hive, including developing tools such as Apache Tez.
For data workers unable to attend in Boston, more thought leadership is available from Qubole in the “Big Data Secrets from the Pros” webinar series, which offers nine sessions On Demand to international audiences:
It is recommended that viewers register for Qubole’s free 15 day trial of QDS in order to practice the techniques in an active hands-on environment.
Qubole is a leading Big Data as a Service provider. Ashish Thusoo and Joydeep Sen Sarma, creators of Facebook’s big data infrastructure and Apache Hive, founded Qubole to make it simple to prepare, integrate, and explore Big Data in the cloud.
Qubole’s 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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