Published By: StreamSets
Published Date: Sep 24, 2018
The advent of Apache Hadoop™ has led many organizations to replatform their existing architectures to reduce data management costs and find new ways to unlock the value of their data. One area that benefits from replatforming is the data warehouse. According to research firm Gartner, “starting in 2018, data warehouse managers will benefit from hybrid architectures that eliminate data silos by blending current best practices with ‘big data’ and other emerging technology types.” There’s undoubtedly a lot to ain by modernizing data warehouse architectures to leverage new technologies, however the replatforming process itself can be harder than it would at first appear. Hadoop projects are often taking longer than they need to create the promised benefits, and often times problems can be avoided if you know what to avoid from the onset.
For the past two years, Oracle has committed substantial R&D resources to developing a new software-as-a-service (SaaS) version of its popular on-premises commerce product. This Forrester Research brief analyzes the key differentiating capabilities of this new offering and will provide guidance to eBusiness and channel strategy professionals on how to evaluate this solution as part of their commerce technology replatforming initiatives.