Part 2 : What is IBM's Enterprise Hadoop ?

In a previous blog post, I introduced Hadoop at a very high level. 

Hadoop is clearly a technology that can be used to overcome the volume and variety challenges of data at rest. Traditional analytics tools work very well on structured data, but today, only 20% of the data is structured. The need for an alternative solution is clear.

While many organisations have been experimenting with Hadoop to bridge this gap, few have been able to leverage it to gain insights that creates meaningful value. This is partly due to the deep skills required to work with Hadoop, and also the lack of enterprise capabilities that address information governance concerns, security and data lifecycle management.

IBM introduced Infosphere Big Insights, its Enterprise Hadoop platform to enable organisations to leverage Hadoop in a way that could have a transformational impact on their business and deliver significant competitive advantage. To achieve this, IBM introduced focussed on delivering 3 key capabilities. 

1. Analytics support to enhance consumability, enabling analysts with minimal programming skills to get value out of big Data. 
2. Enhancing the Hadoop platform so that it integrates with the rest of the enterprise, enabling Analysts to query Big Data from their existing Data Warehouse and vice versa.
3. Delivering additional tools and capabilities that address governance, security, administration and performance concerns inhibiting the enterprise adoption of Big Data 

For more information on IBM's Infosphere Big Insights, visit this link.