Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK
Tomer Shiran

Tomer Shiran
Cofounder and CEO, Dremio

Website | @tshiran

Tomer Shiran is cofounder and CEO of Dremio, the data lake engine company. Previously, Tomer was the vice president of product at MapR, where he was responsible for product strategy, road map, and new feature development and helped grow the company from 5 employees to over 300 employees and 700 enterprise customers; and he held numerous product management and engineering positions at Microsoft and IBM Research. He’s the author of eight US patents. Tomer holds an MS in electrical and computer engineering from Carnegie Mellon University and a BS in computer science from the Technion, the Israel Institute of Technology.

Sessions

14:55–15:35 Friday, 3/06/2016
Hadoop use cases
Location: Capital Suite 14 Level: Intermediate
Tomer Shiran (Dremio)
Average rating: ****.
(4.00, 5 ratings)
Modern data is often messy and does not fit into the old schema-on-write or even the newer schema-on-read paradigms. Some data effectively has no schema at all. Tomer Shiran explores how to analyze such data with Drill, covering Drill’s internal architecture and explaining how type introspection can be used to query JSON and JSON-structured data—such as data in MongoDB—without requiring a schema. Read more.
16:35–17:15 Friday, 3/06/2016
Enterprise adoption
Location: Capital Suite 2/3 Level: Non-technical
Tomer Shiran (Dremio)
Average rating: ****.
(4.71, 7 ratings)
There are (too?) many options for BI on Hadoop. Some are great at exploration, some are great at OLAP, some are fast, and some are flexible. Understanding the options and how they work with Hadoop systems is a key challenge for many organizations. Tomer Shiran provides a survey of the main options, both traditional (Tableau, Qlik, etc.) and new (Platfora, Datameer, etc.). Read more.