Data Integration tools are perhaps the most vital components to take advantage of Big Data. Enterprise organizations increasingly view Data Integration solutions as must-haves for assistance with data delivery, data quality, Master Data Management (MDM), Data Governance, and Business Intelligence and Data Analytics. With data volumes on the rise and with no real end in sight, businesses are leaning on integration tools more and more to meet all of the data consumption requirements for vital business applications. The main function of Data Integration is to give organizations the ability to gain consistent access to their most important data, no matter where it lies, whether virtually or physically, whether on-premise, in the cloud, or in some other disparate location. Here are the top questions you should be asking yourself before making a decision on which offering is right for your organization:
1. Why is a Data Integration tool necessary to my organization?
What your company needs a program to do will determine many of the technical requirements of the Data Integration solution that best suits you. Will you require real-time data access and transfer? How much data will you need to move and how quickly? Can you afford some downtime on source/target systems, or do you need them running at all times? Note that all these data requirements are based on your technical and business needs so that you can compare them with what specific vendors have to offer.
2. What kind of data do I need to analyze?
Is the majority of your company’s data transactional in nature? Is it all structured? If so, a traditional or “legacy” tool may be right for you. If the bulk of your data streams to your storage framework in real-time via embedded product sensors, social media, computer applications and online customer feedback, then a solution that can integrate with the likes of Hadoop, Spark, and NoSQL is going to be the best fit for you.
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