Data integration: 4 benefits of a data hub in a hybrid world
Posted: Wed Jan 22, 2025 4:13 am
Discover the key features to select from a data integration tool and the benefits of having a data hub.
Businesses around the world are pursuing a digital transformation that aims at a connected customer experience, connecting data sources, applications and devices. In this context, new data integration solutions are a source of competitive advantage thanks to the visibility and monitoring capacity of the data they provide. Identifying the right tool will be one of the challenges.
For example, Informatica's Data Integration Hub aims to move toward a data management model in which information is recognized as a valuable and strategic asset. This software allows data to be organized, unified, governed, and shared, avoiding the problems associated with processes that required the creation of large amounts of point-to-point data flows.
However, since there are many data overseas chinese in uk data tool providers, it is necessary to identify what to look for when making the selection.
Cloud Data Integration: How to Address Integration Challenges in the Cloud Era?
Key features in data integration tools
Below is a set of key features to keep in mind:
Cloud and Big Data Processing and Connectivity – The choice made should ensure that all of the organization’s data can be connected through a single Hub. When considering where to direct investment, it may be interesting to see if there are options for configuring publish and subscribe workflows to run on the most appropriate platform for each use case.
Flexible data management . The goal should be to have the necessary support to automate the execution of multi-step processes for complex scenarios.
Data publish/subscribe hub. In a hybrid world, one of the priorities should be to ensure seamless data transfer between hundreds of supported cloud and on-premises systems. Finding a solution that allows flexible use of RDBMS, HDFS and flat files for data storage could be one of the goals to set.
Self-service for data consumers. A simple web interface democratises data access and reduces the need for developer resources to connect systems.
Mixed data latency – Different persistence mechanisms are required to address impedance mismatches between source and target systems. It is also important to ensure that the chosen data integration solution can support different latencies and durations.
Visibility, monitoring and alerting Taking screenshots of each interaction and being able to enjoy the benefits of user notifications are requirements to be observed, however, the most important thing in this aspect is to ensure the possibility of managing data flows and their end-to-end lineage, based on complete visibility of the data and metadata.
Businesses around the world are pursuing a digital transformation that aims at a connected customer experience, connecting data sources, applications and devices. In this context, new data integration solutions are a source of competitive advantage thanks to the visibility and monitoring capacity of the data they provide. Identifying the right tool will be one of the challenges.
For example, Informatica's Data Integration Hub aims to move toward a data management model in which information is recognized as a valuable and strategic asset. This software allows data to be organized, unified, governed, and shared, avoiding the problems associated with processes that required the creation of large amounts of point-to-point data flows.
However, since there are many data overseas chinese in uk data tool providers, it is necessary to identify what to look for when making the selection.
Cloud Data Integration: How to Address Integration Challenges in the Cloud Era?
Key features in data integration tools
Below is a set of key features to keep in mind:
Cloud and Big Data Processing and Connectivity – The choice made should ensure that all of the organization’s data can be connected through a single Hub. When considering where to direct investment, it may be interesting to see if there are options for configuring publish and subscribe workflows to run on the most appropriate platform for each use case.
Flexible data management . The goal should be to have the necessary support to automate the execution of multi-step processes for complex scenarios.
Data publish/subscribe hub. In a hybrid world, one of the priorities should be to ensure seamless data transfer between hundreds of supported cloud and on-premises systems. Finding a solution that allows flexible use of RDBMS, HDFS and flat files for data storage could be one of the goals to set.
Self-service for data consumers. A simple web interface democratises data access and reduces the need for developer resources to connect systems.
Mixed data latency – Different persistence mechanisms are required to address impedance mismatches between source and target systems. It is also important to ensure that the chosen data integration solution can support different latencies and durations.
Visibility, monitoring and alerting Taking screenshots of each interaction and being able to enjoy the benefits of user notifications are requirements to be observed, however, the most important thing in this aspect is to ensure the possibility of managing data flows and their end-to-end lineage, based on complete visibility of the data and metadata.