Friday Feb 20, 2015

Oracle Big Data Discovery Now Available - The Visual Face of Hadoop


There has been a lot of excitement about Oracle Big Data Discovery, and it is now generally available to customers and partners and can be sold and installed now.

This is a stunningly visual, intuitive tool that enables you to leverage the power of Hadoop and turn raw data into business insight in minutes — without learning complex products or relying only on specialists.

From a partner perspective it is perfect for proof of concept work with your clients to reveal the value they can find in their large information reservoirs combining a variety of data and text sources; potentially leading to much more and deeper analysis as part of an overall big data information architecture.

To find out more see these videos:

Check out the Capabilities of Big Data Discovery to

  1. Easily find relevant data by browsing a rich, interactive catalog of all data in hadoop using familiar keyword search and guided navigation.
  2. Explore data to understand its’ potential by visualizing the shape and quality of unfamiliar data and combining attributes to uncover interesting relationships.
  3. Transform and enrich to make data better with intuitive, user-driven data wrangling.
  4. See rich, interactive visualizations that reveal new patterns by blending diverse data sets for deeper perspectives.

More Resources:

Thursday Apr 25, 2013

How much faster is the Oracle R implementation compared to “Normal” R ?

For those of you just getting interested in “Advanced Analytics”, you may still be wondering “What is R ?”… R is an open-source language and environment for statistical computing and data visualization: and it works with OBI to enrich the graphics and predictive capabilities: see here a quick preview on YouTube.

It is being taught in colleges and universities in courses on statistics and advanced analytics – often in preference to more traditional statistical software tools – and so skills in R are readily available among younger graduates.

For you experts in the field who use R anyway, the key question is why use “Oracle’s version” ?

The tight integration between R, Oracle Database 11g, and Hadoop enables R users to write one R script that can run in three different environments: a laptop running open source R, Hadoop running with Oracle Big Data Connectors, and Oracle Database 11g.

For large analyses on large Oracle data-sets, it is much faster and easier to do this “inside” the database, than exporting the data into another specialised external data format.  Some of the benchmarks below, show 4x ~ 20x + faster for various operations, and even 100x + for some data scoring algorithms.

For Oracle Advanced Analytics Option, Oracle R Enterprise in-DB functionality, the performance gains come through the R-to-SQL transparency layer for native SQL performance and the OAA/ORE “mapping” to the OAA/Oracle Data Mining SQL based hi-performance data mining algorithms and statistical functions that are native in-DB parallelized implementations of the algorithms. 

Also, besides the simpler and more scalable architecture, the majority of the performance gains stem from eliminating the extract, mine, apply models, import outer loop which can take weeks to months, largely due to “human time” sinks to manually translate the data transformations and model logic to native SQL for in-DB deployment.  That conversion process is tedious, time consuming and error prone.  The OAA in-DB performance therefore cuts that latency time down to secs / mins / hours.

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