By Rob Routzahn
Sometimes, things become more complicated. Your data architecture is no exception.
We all know that there has been an explosion of data available to organizations for business and operational analysis. We also know that there are scores of vendors, each proclaiming their solution is the best for a given data type or workload. Where does an organization get started? How do they make sense of the noise? Who can they trust to help them?
In Gartner’s 2016 Magic Quadrant for Data Warehouse and Data Management Solution for Analytics, I believe that IBM has emerged as the partner with the industry’s leading vision for how to move forward. You can read this report here.
What is the IBM vision for data warehousing now and into the future? It all starts with the Logical Data Warehouse (LDW).
The LDW encompasses the scope of technologies needed in today’s hybrid data world. These technologies have made it possible to push data closer to the user for enhanced analytical effectiveness while providing powerful tools to optimize operational efficiency. New Open Source platforms like Hadoop enable management of virtually any type of data. More powerful relational databases process terabytes of data in minutes.
Data integration technologies enable governed self-service access to data.
Data archiving software helps manage the data load on the entire system. Governance technologies help ensure that the data is clean, secure, and reliable. Finally, organizations have the opportunity to choose cloud-based deployment options for both their data and their applications, providing an unprecedented means to reign in capital costs.
Beyond the breadth of IBM’s vision is the understanding from our clients that this complex mix of data types and technology platforms needs to be easy to manage.
That is why we are converging our technologies to provide common data schemas, a common user experience, and easy to deploy interoperability standards regardless of platform, or where an organization chooses to begin its journey toward implementing a Logical Data Warehouse. IBM also provides the data virtualization tools and fluid data movement capabilities necessary to make finding, analyzing, and using data as seamless and easy as possible.
I would encourage you to read this new Gartner Magic Quadrant. As you read through this report, I believe you will see that the comprehensive IBM solution to enable the Logical Data Warehouse stands out from the pack.
Robert Routzahn is a Portfolio Marketing Manager for the data warehouse product line. His primary focus is driving the messaging and strategy for the data warehouse product line. Prior to his current role, Robert was a Portfolio Marketing Manager for Information Integration products. He has also served as the Product Manager for InfoSphere QualityStage, and other IBM software products. Rob has worked in the Information and Data Management space for over 10 years. Robert holds an MBA from The University of Chicago Graduate School of Business, and an undergraduate degree from Bowling Green State University.