A new set of data management options.
In the 1.0 era, firms used data warehouses as the basis for analysis. In the 2.0 era, they focused on Hadoop clusters and NoSQL databases. Today the technology answer is “all of the above”: data warehouses, database and big data appliances, environments that combine traditional data query approaches with Hadoop (these are sometimes called Hadoop 2.0), vertical and graph databases, and more. The number and complexity of choices IT architects must make about data management have expanded considerably, and almost every organization will end up with a hybrid data environment. The old formats haven’t gone away, but new processes are needed to move data and analysis across staging, evaluation, exploration, and production applications.