Here's the preso I used:
“Big Data is a Big Deal” – Tel-Aviv Israel, 6th March 2012, Techeads Multi-brand Event (Avenue, Airport City)
* UPDATE *
One of the sessions I enjoyed more was Mr. Amir Kirsh's "NoSQL and Huge Data Stores". He's the Chief Programming Officer from Comverse and a lecturer in the Academic College of Tel-Aviv Yaffo. Amir is an expert in advanced programming technologies, open source solutions and modern development methodologies. His session was about "the data revolution in the past decade created the need for applications to manage and retrieve huge capacities of data, leading to new technologies which trade some of the traditional SQL features with other x-abilities such as better scalability and enhanced performance for handling big capacities of data". Nevertheless the NoSQL market back then was very vague.
I took me more than 30 minutes to explain a french lady that Oracle had a NoSQL Database product. She's got hung up in the fact that NoSQL was a type of technology not a product name. Because then NoSQL market was comprised of such names as MongoDB, CouchDB, Cassandra, HBase together with proprietary names like Google's BigTable, Amazon's DynamoDB and even LinkedIn's Voldemort. So when the nice lady heard Oracle NoSQL Database, her next question was "Yes, but what's the product's name?". Exactly that! Funny moment, but this was 2012 and the NoSQL market was synonym with open-source. Soon enough 10Gen (MongoDB's company) received a new round of investment and even changed their name to MongoDB. DataStax began more visible as the company that took Cassandra database invented at Facebook, to the enterprise world.
All and all, it is mind blowing that Israel had organised such a conference, light years ahead of Europe, and with such maturity and depth of expertise showcased. That was the good, but the bad was the fact that every major manufacturer was trying to sell either storage or servers for Big Data systems. This eventually changed over time, with big hardware and software vendors enriching their ecosystems. Oracle's Big Data Appliance incorporated all the Cloudera ecosystem, and was certified as the Big Data platform for several ISVs. Teradata launched their own Hadoop appliance in the meantime, with Hortonworks. Eventually all of them ended up partnering up with Cloudera, and Hortonworks got sidelined. MapR is an even bigger example of the Cloudera effect. This effect was predominantly due to Intel stepping down from their Hadoop distribution and investing a whopping 700M USD into Cloudera.