2013 Big Data Predictions: Cross-scale data architectures including Graph Databases
James Kobielus, Big Data Evangelist, IBM, outlines his Big Data Predictions for 2013, noting that cross-scale data architectures will predominate.
They (organizations) will deploy cheap storage into lower-volume (low terabytes), higher-velocity (real-time) platforms closer to user applications, while deploying the higher-volume (petabytes), lower-velocity (batch) platforms closer to the data sources. The staging, landing, or pre-processing tier will be where most real-world deployment of peta-scale Hadoop, NoSQL, graph and other specialized databases will take place. The RDBMS-based enterprise data warehouse (EDW) will increasingly anchor the hub tier, midway in scale between the nouveau big-data platforms in the staging tier and the in-memory platforms in the access, mart and exploration tier.