Selecting the Right Data Integration Tools Requires Diligence

It is well known that aggregating data from different platforms to your data warehouse in the cloud for further reporting or analyzing is not as difficult as it was imagined earlier. Data integration platforms have been designed by many developers to offer individuals and companies the data integration tools they need to transition all their business data to the cloud. However, users need to conduct some diligence before they zero in on any data integration platform because they should be attempting not to disrupt the objective of integrating the data on a single platform to have a unified view of all their data from a single interface.

Users looking for data integration platforms must understand that the process of combining data from different sources will not happen by itself and therefore they will need to use data integration tools that are designed for this purpose. The tools should include functionality aimed at cleansing, transforming and mapping the data along with monitoring the flow of the integration.

Data integration is critical for a larger data analytics strategy regardless of whether the data is coming from local software-based batch sources or from web-based streaming sources.

Organizations can have on-premise or open-source data integration tools according to their needs. Cloud-based data integration tools are also available now for use by people that no longer want to have all their data on local systems. Therefore users of all types will be required to select the right type of data integration tool suited for their requirements.

How can users select the right data integration tool for their requirements? There is a long list of requirements that users will be required to consider. We are only considering the most important that most users will have to take into account the most important that most users will need to consider. It is important for everyone to understand that with data integration tools they do not have the flexibility of believing that one size will fit all and therefore will have to make a proper choice considering their individual requirements.

It is important for users to consider the size of the enterprise before selecting any data integration tool for themselves. It must be understood that data needs can grow along with the complexity of the data integration strategy. More streams of web-based data sources are being created every day and therefore selecting a tool or service that can accommodate the expansion of any data within their sources should be available.

The objective of selecting a data integration platform should not be for the purpose of looking for additional storage. Users will be needing a solution that will help them to connect to various new streaming and web-based data sources. Quite a few legacies and on-premise tools for handling streaming data sources or do not manage the same optimally.

The use case of data integration must also be considered. It is possible that a fully on-premise solution may be the appropriate choice for some users that may not require data plans to move to the cloud. There are as well open-source approaches that are available but it is advised that care should be taken before attempting these methods to ensure users have the expertise needed as well as the resources in-house. Most importantly the question of security and compliance must also be considered to make sure that the solution has the expertise and resources to keep you covered when the matter relates to security, privacy, and compliance.

Users that are looking for a suitable platform to cover all the above will find quite a few data integration platforms and tools available to them from different providers that could be offering low prices or making offers of different types. However if they intend to comply with the requirements stated above it is suggested that users opt for the data integration tool developed by Rivery because this is the only enterprise data integration tool that apart from giving users the ability to aggregate the data from any platform also offers them a wide range of cloud storage platforms they can use if they find it necessary.