One of the top challenges for business intelligence (BI) and analytics professionals in a cloudy, big data world is data movement and integration. The growing complexity of reporting across large volumes of heterogeneous data stored in different environments is daunting because of the principles of data gravity. Even with fast networks and improved caching, architects need to design solutions with distance, bandwidth, throughput, and latency performance considerations in mind.

Data gravity introduces significant industry challenges. BI has primarily lived on-premises, with only a minuscule 2 percent of BI applications living in the cloud. Even as the industry shifts more and more apps rapidly to the cloud, data warehouses and many other data sources still often reside on-premises for a long time. Thus, we anticipate an increased need for BI apps to query across both realms, on-premises and cloud, as the latter matures.

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