"database architecture" entries
Making the case for blended architectures in the rapidly evolving universe of advanced analytics.
Two years ago, most of the conversations around big data had a futuristic, theoretical vibe. That vibe has been replaced with a gritty sense of practically. Today, when big data or some surrogate term arises in conversation, the talk is likely to focus not on “what if,” but on “how do we get it done?” and “what will it cost?”
Real-time big data analytics and the increasing need for applications capable of handling mixed read/write workloads — as well as transactions and analytics on “hot” data — are putting new pressures on traditional data management architectures.
What’s driving the need for change? There are several factors, including a new class of apps for personalizing the Internet, serving dynamic content, and creating rich user experiences. These apps are data driven, which means they essentially feed on deep data analytics. You’ll need a steady supply of activity history, insights, and transactions, plus the ability to combine historical analytics with hot analytics and read/write transactions. Read more…