As the IT is maturing and so the enterprises, I see a lot of potential for heterogenous integration. Lot's of unkown challenges are there in the integration architecture. As the technology matures to new levels , opening doors for new ways of doing things , the complexities in the integration space can be potentially handled easily.
Gone are those days when Enterprises will wait for hours and days to look at the dashboards based on the old, stale data. In this fast world of BYOD, fitness gears and flooding of other devices, it is becoming super important to derive out “actionable” information from huge volume of data / noise that is generated from these devices or any other data sources and act proactively on them in real-time, to stay competitive. At the same time, the need for having dashboards and other analytical capabilities based on the quality, cleansed, processed data still very much exists. With the emergence of more data types and need to handle huge volume, shift is happening from the conventional data warehouse practice to cloud based data processing & management capabilities where high volume batch processing is possible at the optimized cost. Business scenarios demanding the need to process the data in real-time More