Embedded within the data services is an integrated stage that provides a continue workspace
Dynamically create data spaces, tables and objects that can be accessed across the entire platform
Migrate data from multiple different platforms into structures that match the way you need to work
Create tables on the fly to house, hold and stage the data
Create multiple data spaces in parallel that can be solution or environment specific
Tools embedded into the Integration Designer enable high performance output
Add tables, structures, objects dynamically on the fly from within the tools as you work
Create resusable components that can be leveraged over and over
Become more efficient by accessing all data services within a single environment
Go faster with common and shared data models that bring your data together
Industry and functional data models within the environment to give you a head start
Build on the data models or create your own from scratch
Models that are tuned for data mining, analytics and transactional workloads
As more critical data spreads across the organization modern solutions are needed for data preparation use cases unsolved with legacy tools.
Digital transformation requires leveraging api integration in new ways. This how to guide walks you through the different types of api integration.
When storing and seeing data is not enough. Understanding how to leverage a data platform is a key to competitive success for all enterprises.