The SF Data Mining meetup focuses on all aspects of the data pipeline--from data acquisition and big data storage to machine learning and data visualization.
Tomer Shiran View Bio
Time to value is everything.
With the emergence of new data sources such as web logs, social media, mobile applications and senor data, organizations are looking extend BI by providing insights into new areas such as operational performance, product optimization and customer satisfaction. However, traditional data management processes simply don’t work in this new world of big data. Organizations now not only have to manage higher volumes of information, but the data itself arrives at faster rates in real time and is more complex, dynamic than traditional transactional datasets. To be useful, this data must be analyzed in much more shorter intervals than traditional reporting cycles of weeks and months.
In this session, we will see how Apache Drill is driving this audacious goal to bring Self Service data exploration natively on the Hadoop/NoSQL data and lets users explore any type of data, immediately as it comes in and using the familiar ANSI SQL language/SQL tools they are already familiar with. It also covers the exciting challenges that the Apache Drill community is working with, current status and the roadmap.
Tomer Shiran heads the product management team at MapR and is responsible for product strategy, roadmap and requirements. 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.