Higher Processing Speed At Lower Cost Is Changing Everything
- HADOOP PROVIDES INEXPENSIVE, HORIZONTAL, AND LINEAR SCALABILITY AT THE STORAGE AND COMPUTE LAYERS.
- DIFFERENT DATA SOURCES CAN NOW BE COMBINED AND VIEWED THROUGH A SINGLE PANE OF GLASS.
“Hadoop allows for a mixture of data access (batch, interactive, real time) all on the same platform, all acting on the same data.”
Companies have been processing, dissecting, aggregating, and analyzing data for decades. Massive database systems or mainframes take in large data sets, and business analysts use various tools to drill through the data to create operational or forecasting reports. These reports drive the business and help companies determine the current state of affairs and develop insights into new business opportunities. Database systems excel at putting data sets into memory for fast processing. As memory prices drop, larger and larger data sets are pushed into growing memory caches. None of this is especially new, and it is still the primary means most companies use for their analytics. So what has changed?