Check out this presentation, courtesy of Viakom Krishna, VP of Engineering at SnapLogic. Data Integration is changing, and enterprises are collecting data from more sources than legacy solutions can deal with. As a result, the market has evolved, and software tools are having to change with the times.
Prior to this evolution, integration tools remained in the hands of IT departments. However, this can no longer be the case. End-users need to tools they can utilize on-demand, helping them migrate data from disparate sources to gain a single unified view. In this way, Data Integration tools should be flexible, enabling business analysts self-service functionality.
In this slideshow, the Data Integration experts themselves explain ten requirements that modern tools must posses. As you might guess, many of these requirements involve providing users the autonomy they need to answer questions when they see fit, not just when the IT department needs a question answered.
Latest posts by Timothy King (see all)
- The Three Best Data Engineering Books on Our Reading List - April 8, 2021
- The 8 Best Data Engineering Courses and Online Training for 2021 - April 8, 2021
- Trifacta Launches Industry First Data Engineering Cloud - April 8, 2021