By now you’ve probably heard a lot of buzz about our exciting big data vision and specifically our new product, Oracle Big Data Discovery (or BDD as it is affectionately abbreviated). It’s a new ‘Hadoop native' visual analytics tool that offers the ability for anyone to turn raw data in Hadoop into actionable insight in minutes, without the need to learn complex tools or rely only on highly specialized resources.
For underserved business analysts, eager to get value out of the Hadoop data lake (or reservoir/swamp depending on your mood), finally there is a product providing a full set of capabilities easy enough to use to be truly effective. For the data scientist, already proficient with complex tools and languages but bottlenecked by messy and generally unprepared data, life just got a little easier. But most important of all, business analysts, data scientists and anyone else who is analytical minded, can now work together on problems as a team, on a common platform and this means productivity around big data analytics just took a huge step forward.
Before we dig into BDD in more detail let's pause to understand some of the fundamental challenges that we are trying to address with the product. To do this we need to ask some basic questions:
I invite your comments to discuss these important questions related to unmasking data in Hadoop as I’ll be sharing more of the vision and investment Oracle has been making to delivering a fundamentally new approach to big data discovery.