Re-Thinking your Data Warehouse Architecture for Big Data? Think Smart Consolidation
Big Data, all the cool kids are doing it. But the burning question remains, what do you really need to do to make Big Data a reality in your current architecture?
At IBM, we have been thinking a lot about helping our customers advance their analytic capabilities including Big Data. This strategy we refer to as “Smart Consolidation”.
So what is it?
Smart Consolidation is a method for evolving your existing data warehouse architecture to meet today’s demanding analytic needs such as Big Data.
In a nutshell, it’s thinking beyond the traditional warehouse structures that have given us great success with structured data and basic reporting & analysis.
Why think beyond traditional data warehouse architectures? Because that WAS your “father’s data warehouse” and now it’s time to evolve.
It’s time to think differently, think smarter. Time to enable more predictive capability, time to enable “BI to the masses” with operational intelligence and time to extend analytics to include the petabytes of data available today to help us understand customers, manage our brands and understand our competition better.
Today’s data warehouse architecture is evolving to something bigger, to an overall ecosystem and architecture that is extended to include unstructured data, sandboxes and deeper predictive capabilities. In order to evolve our architectures to meet today’s demands we need to leverage new design principles when it comes to data warehousing.
In the past, we have attempted to put as much into one monolithic structure as possible, we called this the enterprise data warehouse. Today, the data warehouse remains a critical part of the total analytic architecture but it is enhanced and extended with new capability that most likely will live outside the walls of the data warehouse itself.
Whoa, I know- outside the warehouse! Yes it’s true, as the analytic capabilities continue to advance and the time to value demands become shorter, we needed an evolution.
Smart Consolidation is driven by some key goals:
1. Simplify the delivery of analytics by leveraging appliances
2. Consolidate and govern enterprise data
3. Optimize workloads for performance and SLAs
4. Extend analytic capability as needed
The basis for Smart Consolidation is to completely optimize your architecture by the Right Workload against the Right Data, in the Right Place, at the Right Cost and Performance.
Why is it important to optimize? As workloads are added to a system, complexity increases causing us to focus more on performance management than innovation. By making sure the right workload is against the right data and in the right place in your enterprise you can create a new level of agility and performance that allows for growth and innovation whenever your ready.
The Road to Smart Consolidation
IBM can help no matter where you are in your journey. Whether you are looking to improve the performance of existing analytics, leverage Big Data or push BI capability out operationally.
IBM is the only vendor who can provide solutions from data integration, data movement & governance to specialized appliances and solutions to quickly leverage deep analytics and Big Data.
Let’s build a smarter data warehouse together.