4 benefits of a data center in a hybrid world

Companies around the world are pursuing a digital transformation aimed at a connected customer experience. Data source connection, apps and devices. In this context, new solutions for data integration constitute a source of competitive advantage thanks to the visibility and traceability of the data they provide. Identifying the right tool will be one of the challenges.

For instance, Informatica Data Integration Hub aims to move towards a data management model in which information is recognized as a valuable and strategic asset. This software allows you to organize, unify, govern and share data avoiding the problems associated with processes that required the creation of large amounts of point-to-point data streams.

But nevertheless, as there are multiple providers of data integration tools, you need to identify what to look for when making your selection.

Key features in data integration tools

Here is a set of key features to consider:

• Processing and connectivity in Cloud y big data. The choice you make should ensure that all the data in your organization can be connected through a single hub.. When considering where to invest, it may be interesting to see if there are publish and subscribe workflow configuration options to run on the most suitable 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.
• Publishing Center / data subscription. In a hybrid world, Ensuring seamless data transfer between hundreds of supported cloud and on-premises systems should be one of your priorities. Find a solution that allows flexible use of RDBMS, HDFS and flat files for data storage could be one of the goals to be set.
• Self-service for data consumers. A simple web interface democratizes access to data 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 destination systems. It is also necessary to verify that the chosen data integration solution can support different latencies and durations..
• Visibility, monitoring and alert Taking screenshots of each interaction and being able to enjoy the benefits of notifications to users are requirements to observe, but nevertheless, the most important thing in this aspect is to ensure the possibility of managing the data flows and their lineage from end to end, based on full visibility of data and metadata.

All these attributes not only guarantee the integration of data according to the new times, they also allow the company to improve its productivity and efficiency. At the same time, accelerates time to analytics production and lays the foundation for a more agile data infrastructure that will be key to future business evolution.

You may be interested in continuing reading: The new normal is being in the cloud

Benefits of a good integration tool

Optimize the data integration environment, while reducing its complexity; speed up access to data, democratizing knowledge in the organization; improve the organization of data flows through a data center and, of course, achieve a deeper understanding of the environment that will facilitate better management are some of the results of data integration.

Now, Let's see the benefits that this brings to companies:

• Govern more efficiently and, at the same time, easier. Simplicity, visibility, control, monitoring and alerts in a data integration tool facilitate the management of the data flow in the organization. Instead of trying to make sense of multiple point-to-point data streams, this solution allows you to visualize the movement of data and lineage from one end to the other. Thus, access to confidential data is controlled through centralized privilege management. If to this we add a centralized alert and monitoring system, the result is an effective risk reduction.
  
• Replace data silos with a data center to unify multi-cloud integration, local systems and big data anywhere. The chosen data integration tool must connect and unify the fragmented data silos to ensure that reliable and consistent data is available for consumption. What's more, it would be interesting if you could create complex hybrid workflows capable of integrating data from all these environments.
• Manage and coordinate multiple data management functions.like data integration, data quality and master data management within one or more workflows. This is achieved by leveraging on-premises and cloud data lakes and organizing their processing at Hadoop scale..
• Accelerate data access through self-service. By facilitating the exchange of information, waiting time for new custom integrations that must be implemented by IT is reduced. What's more, providing all business users with access to the same data reduces fragmentation and ensures that insights are properly reconciled across all analytics and operating systems.

Keep reading

The modernization of data management: on the cloud, smart and automated

Your organization's data strategy begins with data collection and transformation. When done correctly, results in relevant information for business decision making. When do not, the data is piling up and the clutter is gigantic. That is why the selection of a data integration tool charges a strategic importance.