"In the days before data was officially Big, Oracle faced a similar challenge when optimizing Exadata, our then-new database appliance. Since many databases are connected to shared storage, at some point database scan operations can become bound on the network between the storage and the database, or on the shared storage system itself. The solution the group proposed was remarkably similar to much of the ethos that infuses MapReduce and Apache Spark: move the work to the data and minimize data movement.Oracle Big Data SQL: One Fast Query, All Your Data (The Data Warehouse Insider)
The effect is striking: minimizing data movement by an order of magnitude often yields performance increases of an order of magnitude.
Big Data SQL takes a play from both the Exadata and Hadoop books to optimize performance: it moves work to the data and radically minimizes data movement. It does this via something we call Smart Scan for Hadoop."
Tuesday, July 15, 2014
Oracle Big Data SQL: One Fast Query, All Your Data (The Data Warehouse Insider)
Excerpt from an introduction to Oracle's Big Data SQL technology