Many of us have schedules packed so tight we don’t have room to eat a meal sitting down much less read a novel or go for a long walk. With work, family, friends and other commitments, our days, weeks and months speed by us. It is easy to get caught
In my last post, I pointed out that an uninformed approach to running queries on top of data stored in Hadoop HDFS may lead to unexpected performance degradation for reporting and analysis. The key issue had to do with JOINs in which all the records in one data set needed
Financial institutions are mired with large pools of historic data across multiple line of businesses and systems. However, much of the recent data is being produced externally and is isolated from the decision making and operational banking processes. The limitations of existing banking systems combined with inward-looking and confined data practices
