At this BDW meeting, hosted by Caserta Concepts, we’re going to talk about building a Big Data Recommendation Engine, and how to leverage Solr and Mahout for next generation data access and insight.
Presenters will include:
- Joe Caserta, the President of Caserta Concepts and the co-author, together with Ralph Kimball, of The Data Warehouse ETL Toolkit, regarded as a standard in the industry
- Grant Ingersoll, Chief Scientist of Lucidworks, Mahout co-founder and Lucene/Solr committer
- Elliott Cordo, Principal Consultant at Caserta Concepts, who will share with us his first hand experience in building a recommendation engine
Over the past few years, relevant recommendations have become expected and essential as part of the customer experience. From the customer’s perspective, marketing interactions are becoming helpful and time saving, instead of being generic, out of context, and annoying. If you shop at any of the major online retailers such as Amazon or Bluefly you may think they somehow have gotten inside your head as they present and recommend products relevant to you. This is an exponential improvement of the traditional psych-demographic profiling and targeting of the “old world”.
We will talk about how Mahout can be leveraged to build a Recommendation Engine with a minimum of coding. We will also discuss how the open source search and machine learning capabilities of Apache Solr and Mahout can be combined to power large scale data driven applications that effectively combine real time access with large scale enrichment and discovery.
Caserta Concepts has grown beyond its roots as a provider of traditional data warehouse and BI consulting to also offer big data warehousing. If you’re a developer and are experienced in Hadoop, Hive, HBase, Mahout, Datameer or other Big Data technologies, we want to get to know you!
Date: Monday, December 17, 2012
Location: New Work City at Broadway and Canal
412 Broadway (2nd Floor – Canal St. subway station), New York, NY (map)