There are 2 things I like in this clip the first is at 2:35 Minutes, has a brilliant way of displaying left outer join. Then at 3:45 the automatic visualization of the data is great
It’s time to meet your customer. They buy your products and take advantage of your services, but what do you really know about them? By examining past data, you can learn a lot about his
behavior and begin building a model to provide a superior customer experience.
In this video, IBM z Systems Marketing Manager Paul DiMarzio discusses the advantages of running predictive analytics on IBM SPSS Modeler and IBM DB2 Analytics accelerator on z Systems.
IBM Fluid Query opens the door to better business insights for IBM PureData System for Analytics clients. It helps clients gain access to deeper insights using more data, which can lead to a competitive edge and helps enable a Logical Data Warehouse.
Announced in March, 2015, Fluid Query 1.0 enabled queries from of Hadoop unstructured stores from PureData. Now in Fluid Query 1.5, this ability to query other data stores is extended to include Spark, DB2, dashDB and Oracle data.
Great explanation in the following link : http://smartdatacollective.com/bigdatastartups/227421/simplest-explanation-big-data
For those without the patience, here is the bottom line:
It is not about the volume of data, but it is all the insights derived from combining several, smaller, datasets, making Big Data achievable for organisations of any size or in any industry. Therefore, the simplest explanation of Big Data is: “Mixed Data.”