Data warehouses and data marts developed using Kimball, Inmon or any hybrid methodology can deal with structured data and have scalability challenges too. Appliance solutions such as Parallel Data Warehouse are Microsoft's candidate to deal with such challenges. Some might think that this is the answer to warehouse largest volume of data and build analytical capabilities on the top of it. But this data volume is just a very small piece of the ecosystem. According to Gartner, enterprise data would grow by 650% in 2014 and 85% of the same would be unstructured data, which is also termed as BIG Data.
1) The Google File System
2) Data warehousing and Analytics Infrastructure at Facebook
3) Apache Hadoop Wiki
4) Apache Hadoop MapReduce Implementation at Yahoo
5) Setting up Hadoop on VM