Hybrid Solutions will Solve our Big Data Problems for Years to Come
When I talk to the people on the front line of big data, I notice that the most common use case of big data is to provide visualization and analytics across the types of data and volumes of data we have in the modern world. For many, it’s an expansion of the power of the data warehouse that deals with the new data bloated world in which we live.
Today, you have bigger volumes, more sources and you are being asked to turn around analytics even faster than before. Overnight runs are still in use, but real-time analytics are becoming more and more expected by our business users.