Decemberi Big Data Meetup

18:00 Arrival

18:10 Strata Road Report

The Strata conference series are well-known as the leading Big Data and Data Science related events, offering a huge amount of both technical and business oriented presentations about how data could be managed and used in different areas. This talk, co-presented by 3 Strata attendees from 3 different companies, gives a personal account of the recent New York and London conferences.

Speakers:

• Ratky Gabor, CTO of Secret Sauce Partners

• Tamas Papp, BI architect at Ustream

• Bence Arato, principal analyst and CEO at BI Consulting

18:55 Break, pizza and beers

19:10 Apache Drill, a query engine for heterogeneous, large-scale datasets

Apache Drill is a distributed system for the interactive, ad-hoc analysis of large-scale datasets, inspired by Google’s Dremel technology. It is designed to scale to thousands of servers and able to process Petabytes of data in seconds, enabling SQL-on-Hadoop and supporting a variety of data sources. Since its inception a year ago, Apache Drill has gained widespread interest in the community, attracting hundreds of people.We will discuss how Apache Drill enables interactive, ad-hoc query at scale,review the system architecture and walk through use case. We then focus on Apache Drill's unique support for a variety of back-ends (HDFS, HBase, MySQL, MongoDB, CouchDB, etc.), its extensibility points, and show a demo of the system.

Speaker: Michael Hausenblas
Chief Data Engineer EMEA, MapR Technologies

Michael Hausenblas works at MapR Technologies in the role of Chief Data Engineer EMEA, where he helps people to tap the potential of Big Data. He has a background in large-scale data integration, the Internet of Things, and Web applications and is experienced in advocacy and standardisation. Michael has been using NoSQL datastores and Hadoop in a number of use cases and he shares his experiences with polyglot persistence at public events and via blogs. Michael contributes to Apache Drill, a distributed system for interactive, ad-hoc analysis and query of large-scale datasets.

20:00 Followup discussions