Category Archives: BIG DATA

Watson Analytics: How to join datasets before loading into Watson Analytics

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

Watson Analytics: Watson Analytics Overview

Predictive analytics with IBM SPSS Modeler

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 1.5 Extends Insights Across More Data Stores

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.

Connecting IBM Cognos BI 10.2.2 to Amazon Redshift

Grate Link for DAX (PowerPiovt)

For PowerPivot users here is a great links

Dax Patterns

Also worth while going to SQL BI

By   and 


Dynamic Cubes Webinar by Ironside

Complementing the existing Cognos query engine, Dynamic Cubes extends Cognos scalability to enable speed-of-thought analytics over terabytes of enterprise data, without being forced to rely on a new data-warehousing appliance.

Riak vs. Oracle

Great short explanation about Riak vs. Oracle

By  Alex Gorbachev, Oracle ACE Director, Cloudera Champion of Big Data

6 minute end to end demo of Cognos 10.2.2

In just 6 minutes, we will cover the wide range of capabilities introduced in Cognos Business Intelligence 10.2.2.

The Simplest Explanation of Big Data

The Simplest Explanation of Big Data 

Great explanation  in the following link :

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.