CHALLENGES WITH PREVIOUS TECHNOLOGIES
- The old approach of painstakingly cleansing information from transactional systems and neatly placing it into data warehouses doesn’t work in an era where data is arriving in huge volumes from many diverse sources in formats that are constantly changing.
- Partly spurred by legal and regulatory mandates, storage requirements are exploding because retention periods for previously ephemeral data can now extend to years or even decades.
- The rigid structure of yesterday’s data warehouses made data a precious asset that could cost upwards of $10,000 per terabyte. With Hadoop on commodity hardware, those costs fall by more than 90%. This removes many of the cost and technical barriers of enabling data agility.