Raul Chong
Senior Big Data and Cloud Program Manager, IM Cloud Computing, IBM

Raul F. Chong is a senior big data and cloud program manager at the IBM Information Management Cloud Computing Center of Competence, based at the IBM Canada Laboratory in Toronto. He works as a technical evangelist, delivering presentations at educational institutions and conferences around the world showing the latest features of BigInsights, Streams, DB2, Data Studio, and related products, and how they work on the Cloud. He also blogs at

Big Data University Surpasses 100,000 members!

October 28, 2013
This past August, Big Data University (BDU) reached a milestone: 100,000 registered users! From its humble beginnings in early 2011, we continue to see rapid growth in the number of registrations. Read More

The role of DB2 in a big data world

October 9, 2013
DB2 Essentials – Understanding DB2 in a Big Data World from Raul Chong covers everything you need to get productive with the latest version of IBM DB2 and apply it to today’s business challenges, including key features introduced in DB2 Versions 10.5, 10.1 and 9.7, including improvements in manageability, integration, security, big data support, BLU Acceleration and cloud computing. Read More

IBM Big Data Developer Days

October 2, 2012
In June, close to 80 developers in the Silicon Valley area attended the free IBM Big Data Developer Day event. It was a great chance for developers to learn about the latest IBM technologies for addressing big data challenges. Read More

Big Data is Bigger in China

September 17, 2012
Everyone knows everything is bigger in China, and big data is no exception. This is why it is no surprise that big data interest is gaining a lot of momentum in China. Read More Filling the Void in Big Data Skills

August 14, 2012
As business users start to explore big data and implement big data projects, they are quickly realizing that the technical issue of managing big data is not the only problem they need to be concerned about: Finding skilled professionals who can work with big data is an equivalent challenge. Read More