Almost a month ago I attended Teradata’s Third Party Influencers event, and although I’ve been remiss at writing about the event more quickly, I have to admit that it has taken me this long to gather my thoughts. After all, each year I learn about updates in the products, the advancements in technology, as well as hear from customers to see how they apply technology and what that means for their business. And until more recently, there has been a focus on showing the business value associated with technology adoption, but usually within the outlook of EDW (enterprise data warehouse) adoption as best approach. Whether or not a reality for most was always a consideration, but never appeared to be a main focus.
As the market shifted, some of this outlook changed as well, but not as much as it has since the acquisition of Aster. In addition to a focus on “big data”, expansion to the cloud, and a broader focus on services, there is a new focus on applying a Unified Data Architecture (UDA). In some ways this is similar in terms of using an integration data warehouse that is shared among many business users. The difference is that technology can now support broader use cases and more diversity, meaning that Teradata can now fit multiple business scenarios without having to conform to an EDW outlook.
Obviously, this hasn’t been the case with the appliance family, but the reality was that there was still a focus on building out an EDW eventually or based on a best case scenario. Now, things are different.
Big data leads the way to more flexible analytics and lets organizations look at a broader range of data in more varied ways, making analytics use able to address business challenges that may have been out of reach in the past due to data warehouse limitations. Based on Manan Goel’s presentation about the Aster Discovery Platform, the solution is meant to do just that by addressing the following challenges of traditional data warehousing:
- long time to value
- lack of flexibility
- requirement of specialized skill sets
- perception of high risk and high cost initiatives
Aster Discovery Platform aims to provide rapid exploration, provide access to all types of data, provide access to all types of users, and provide a proven discovery methodology. One of the key ways Aster enables easier access is by using pre-made models through a Library of SQL Hadoop to provide single SQL statements addressing different data types. Obviously, this will never be within the realm of the business user, but does provide promise for broader use – especially within the small and mid-sized market place.
One of the value propositions of any solution is the ability to implement a solution without having to worry about time to value or hiring new resources. Hopefully this expansion of Teradata Aster will enable solutions to be more broadly adopted within organizations, making large scale data warehousing more accessible to SMBs.