Hadoop has always been a powerful platform, but it is even more so with the release of Apache Drill, a valuable technology for self-service data exploration on big data. For BI users, this is really exciting news.
With Apache Drill, you can immediately query complex data in native formats, such as schema-less data, nested data, and data with rapidly-evolving schemas. And with analytic tools likes Tableau, you can easily create queries, build dashboards and explore data.
Want to learn how to leverage Apache Drill in order to get better analytical insights?
Join us on Twitter for a one-hour, live SQL-on-Hadoop Q&A, next Wednesday, December 17th starting at 11:30am PST, 2:30pm EST. Use the hashtag #DrillQA so the panelists can engage with your questions and comments.
Apache Drill committers Tomer Shiran, Jacques Nadeau, and Ted Dunning, as well as Tableau Product Manager Jeff Feng and Data Scientist Dr. Kirk Borne will be on hand to answer your questions.
Tomer Shiran, Apache Drill Founder (@tshiran)
Tomer Shiran is the founder of Apache Drill, and a PMC member and committer on the project. He is VP Product Management at MapR, responsible for product strategy, roadmap and new feature development. Prior to MapR, Tomer held numerous product management and engineering roles at Microsoft, most recently as the product manager for Microsoft Internet Security & Acceleration Server (now Microsoft Forefront). He is the founder of two websites that have served tens of millions of users, and received coverage in prestigious publications such as The New York Times, USA Today and The Times of London. Tomer is also the author of a 900-page programming book. He holds an MS in Computer Engineering from Carnegie Mellon University and a BS in Computer Science from Technion - Israel Institute of Technology.
Jeff Feng, Product Manager Tableau Software (@jtfeng)
Jeff Feng is a Product Manager at Tableau and leads their Big Data product roadmap & strategic vision. In his role, he focuses on joint technology integration and partnership efforts with a number of Hadoop, NoSQL and web application partners in helping users see and understand their data.
Ted Dunning, Apache Drill Comitter (@Ted_Dunning)
Ted Dunning is Chief Applications Architect at MapR Technologies and committer and PMC member of the Apache Mahout, Apache ZooKeeper, and Apache Drill projects and mentor for Apache Storm. He contributed to Mahout clustering, classification and matrix decomposition algorithms and helped expand the new version of Mahout Math library. Ted was the chief architect behind the MusicMatch (now Yahoo Music) and Veoh recommendation systems, he built fraud detection systems for ID Analytics (LifeLock) and he has issued 24 patents to date. Ted has a PhD in computing science from University of Sheffield. When he’s not doing data science, he plays guitar and mandolin.
Jacques Nadeau, Vice President, Apache Drill (@intjesus)
Jacques Nadeau leads Apache Drill development efforts at MapR Technologies. He is an industry veteran with over 15 years of big data and analytics experience. Most recently, he was cofounder and CTO of search engine startup YapMap. Before that, he was director of new product engineering with Quigo (contextual advertising, acquired by AOL in 2007). He also built the Avenue A | Razorfish analytics data warehousing system and associated services practice (acquired by Microsoft).
Dr. Kirk Borne, George Mason University (@KirkDBorne)
Dr. Kirk Borne is a Transdisciplinary Data Scientist and an Astrophysicist. He is Professor of Astrophysics and Computational Science in the George Mason University School of Physics, Astronomy, and Computational Sciences. He has been at Mason since 2003, where he teaches and advises students in the graduate and undergraduate Computational Science, Informatics, and Data Science programs. Previously, he spent nearly 20 years in positions supporting NASA projects, including an assignment as NASA’s Data Archive Project Scientist for the Hubble Space Telescope, and as Project Manager in NASA’s Space Science Data Operations Office. He has extensive experience in big data and data science, including expertise in scientific data mining and data systems. He has published over 200 articles (research papers, conference papers, and book chapters), and given over 200 invited talks at conferences and universities worldwide.