Schemaless SQL: Easily Question All Data Types Through One Familiar Interface

Details
Join Daniel Abadi, Co-Founder and Chief Scientist at Hadapt, for a free meet-up with cocktails and hors d'oeuvres in Palo Alto on 10/16 (you must register here (http://web.hadapt.com/palo-alto-meetup)).
Learn how "Hadapt Flexible Schema" and "Multi-Structured Tables" are enabling analysts and BI professionals to dramatically reduce the complexity of multi-structured data analysis on Hadoop while accelerating time-to-insights by:
-Providing a queryable view of not only traditional structured data, but also non-relational data such as text, document, and key-value pair data
-Making all data types queryable via SQL, without any predefined schema or structure—"Schemaless SQL" over non-relational data stores
-Dynamically extracting hidden structure and presenting it to the end user, thereby dramatically reducing ETL
-Providing analysts with the only SQL-based solution for querying multi-structured data on Hadoop
Don't forget to register here (http://web.hadapt.com/palo-alto-meetup). Hope to see you there.
About the Speaker:
Dr. Daniel Abadi is a recognized expert in database systems and one of the inventors of the patent-pending Adaptive Analytical Platform. He received his PhD from Massachusetts Institute of Technology, where his dissertation on column-store database systems led to the founding of Vertica (acquired by Hewlett Packard). Daniel is a recipient of a Churchill Scholarship, an NSF CAREER Award, a Sloan Research Fellowship, the 2008 SIGMOD Jim Gray Doctoral Dissertation Award, and the 2007 VLDB best paper award.

Schemaless SQL: Easily Question All Data Types Through One Familiar Interface