Big Data is quickly evolving from being a buzzword to becoming a critical IT initiative. Companies are starting to realize the benefits of analytics, identifying actionable insight and achieving competitive advantage.
The debate is no longer about whether big data analytics provide value; it is about how to design the right architecture to maximize the potential of analytics. Some solutions recommend higher performing storage closely tied to compute, others recommend larger pools, or data lakes, of disparate data that can collect content from multiple sources. In the end, it is a question of whether to move the data to the analytics, or move the analytics to the data.
I took some time to sit down in front of a camera and discuss some of the advantages of data lake solutions along with some challenges recently raised by some data lake critics. As always, I appreciate your opinion. Take a look and let me know what you think.