“CIOs should focus on data driven intelligent decision-making”
Marshall Choy, Director of Systems Solutions and Business Planning at Oracle Corporation Hardware Business Unit shares his views on some key CIO concerns and how Oracle plans to address them through its solutions. Excerpts:
Q] What according to you are some of the current pain points for CIOs?
The pain points are fairly similar across all geographies and industries. Lowering operational costs, stability of technology deployment and risk mitigation are some of the key concerns for CIOs.
If a system goes down, it directly equates to lost revenue and opportunity, and at times losing market share to competition. In addition, CIOs are also under pressure to deliver more services to the business.
Q] How are you addressing these concerns through your solutions not only for greater performance and efficiency but also to deliver a much simplified architecture?
Two of our best components, optimized solutions and engineering systems have a broad portfolio of offerings for customers at any stage of their data maturity requirements. So whether they want to upgrade a single server or they want to re-structure their database environment with an Exadata, we have the offering and we offer great deal of customer choice based on open standards. With our IP ownership and control, we have the capability to offer highly differentiated solutions to the problems better than any of the competitors today.
This offers a great comfort for CIOs, as they do not need to call multiple vendors to figure out who would take the ownership if something wrong occurred in the system. So we are one provider who takes full responsibility of everything that happens within the IT infrastructure.
I can pretty much guarantee that whatever architecture is built with third-parties is not what is running in our labs today.
With an engineered system or optimized solution, I can guarantee that what you are running is exactly what I am running. The benefit of that is, for example, if I am running a variety of tests on a daily basis and should I find a bug or a problem, I can fix that at once. This is not only for one customer but for everyone. In addition, there are chances that we will find the issue before it ever affects the business. It can be solved proactively before it ever becomes an issue or a problem.
Will Oracle Exalytics work best when paired with the company’s Exadata Database Machine and Big Data Appliance?
First and foremost, just like our individual products, we view our engineered systems not as an aggregation of multiple components but as single system themselves. So in themselves we see significant advantages when paired with traditionally used architectures. However, we have also seen from our customer insights, is that when paired with an Exadata, another engineered system, the results are even better.
So for example, with analytics we are seeing performance improvements of 17x when our business intelligence software is used in an existing customer environment. If we pair that with an Exadata-based platform, we see an additional 5x improvement in the performance. The benefits in any deployment will be significant as it is an engineered system but when you pair two engineered systems together, the results are even greater.
Recently Oracle partnered with Cloudera to bring Apache Hadoop to its Oracle Big Data Appliance. How will this integrate in your strategy and be different from other players like IBM, EMC etc. who have Hadoop offerings?
Enterprises have become interested in Big Data, and there is a lot of business value in analyzing new types of business data. We have positioned the appliance for managing and analyzing large sets of data that may be too large, or unsuitable for keeping in databases. With Hadoop, we will bring the processed data back into an Oracle environment. It can provide meaningful insights to increase business productivity.
What we have that is different from competitors is offering a complete end-to-end solution. It is not only about managing the relatively unstructured data but how to integrate structured data as well.
Q] So is Oracle becoming more of a data management company, as some analysts opine, looking beyond its core database?
In a way, yes. You queried about competition, well, they may be focused on certain areas of the architecture whereas we focus on solving the overall problem. And the problem is not just the Big Data portion. End result is what we are looking at; more data driven intelligent decision to drive the business. Big Data appliance, the Exadata database machine and the Exalytics machine are key elements to address this.
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