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Showing posts from January, 2013

OTN Developer Day - Free Oracle Big Data Workshop

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If you want to get hands-on time with Oracle's big data technology stack then we are rolling out, in collaboration with OTN, a new complementary one-day hands-on workshop - yes it really is FREE! The date will is Wednesday, February 20, 2013 at Oracle's HQ in Redwood Shores, California.

The workshop will be based around the MoviePlex demonstration application that was first shown at last year's OpenWorld and you will get hands-on time with the source code and we will show you how to develop some of the key features of this application.

What is Oracle MoviePlex?
The Oracle MoviePlex is a fictional on-line movie streaming company and like many other on-line stores, they needed a cost effective approach to tackle their “big data” challenges. They recently implemented Oracle’s Big Data Platform to better manage their business, identify key opportunities and enhance customer satisfaction. The key challenge for Oracle Movieplex is how to manage and process massive volumes of …

2013 - The year of In-Database Analytics!

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Many of our customers spent 2012 kick-starting big data projects. Based on the number of analyst reports, news articles and general chatter on the web I think it is fair to say that 2012 was the Year of Big Data. To help our customers plan and coordinate their big data projects we developed a very simple high level five step workflow for big data (Stream-Acquire-Organize-Analyze-Decide) as shown here:


Many of the projects that our customers stated in 2012 have at least completed the first three steps (with some having completed stages 4 and 5 and now looping back to stage 1 to kick-start the next round of data enrichment and knowledge discovery):
1) STREAM - all the relevant data streams have been identified and the APIs coded to collect the data on a regular basis
2) ACQUIRE - these data streams are increasing landing on our Big Data Appliance and that is great news!
3) ORGANIZE - many project teams have completed the first round of light-touch transformations and made their new data…