My first job was doing hadoop stuff around ~2011. I think one of the biggest motivators for big data or rather hadoop adoption was that it was open source. Back

My first job was doing hadoop stuff around ~2011. I think one of the biggest motivators for big data or rather hadoop adoption was that it was open source. Back then most of the data warehousing platforms dominated by oracle, netezza, EMC, teradata etc. were super expensive on per GB basis. It was followed by lot of success stories about how facebook save $$$ or you could use google's mapreduce for free etc. Everyone was talking about data being the new "oil". Enterprise could basically deploy petabyte scale warehouse run HBase or Hive on top of it and build makeshift data-warehouses. It was also when the cloud was emerging, people started creating EMR clusters and deploy workloads there. I think it was solution looking for problem. And the problem existed only for a handful of companies. I think somehow, how cloud providers abstracted lot of these tools and databases, gave a better service and we kind of forgot about hadoop et al.