Cloud – Your Next Data Integration Platform?
When a new technology or platform enters IT, we often see it applied first with operational applications and their servers. Then BI platforms and data warehouses adopt the new technology, followed by data management tools. We’ve seen this with various technologies, including Java and services. We’re now seeing the same sequence with clouds (whether public, private, or hybrid).
In fact, we’re at a lifecycle stage with clouds, such that we’re seeing users adopt data integration (DI) tools that are cloud based. This makes sense for many data integration use cases. For example, the fluid allocation of virtualized server resources that’s typical of a cloud lends itself to data integration solutions, which tend to ramp up quickly (at scheduled moments) and conclude almost as suddenly. As data integration dives deeper into Big Data, which itself is growing, capacity planning and tactical reactions to spikes in growth are greatly simplified by cloud computing. Many organizations are exchanging data across geographically dispersed business units and partnering firms, and a cloud can be a useful, neutral location for staging and processing B2B data. As the number and variety of clouds used by an enterprise increases, data integration tools and services will eventually become infrastructure pieces for integrating data across multiple forms of clouds, as well as traditional platforms.
Even so, there are challenges that cloud-based data integration must address. Cloud offerings must allay user concerns about the security, privacy, governance, and compliance of their data. Cloud-based data integration tools and solutions must prove that they support mature DI functions, especially numerous interface types and productive development environments. And cloud DI must show that it can straddle across many worlds, including new cloud-based ones, Web applications, mature client-server environments, and older legacy platforms. After all, none of these will go away; but they are certainly being joined by clouds.
In this Webinar, you will learn:
- The benefits of and barriers to cloud DI
- Prominent use cases for cloud-based data integration solutions
- Trends and possible future directions for DI, as it embraces cloud
Philip Russom, Ph.D.