I thought I’d share this email observation I made earlier today about how Big Data seems to be quadrificating into these orthogonal fields:
1. Data (the intrinsic 1/0 property of big data) which can be broken down subjective areas like interaction data, transaction data || structured, unstructured || realtime/streaming, batch/static || etc.
2. MapReduce platforms – AKA divide and conquer – virtual integration capabilities that enable aggregation and management of multiple name-spaced data sources (Hadoop, InfoSphere Streams, Pneuron, etc.)
3. Data Exploration, Data Mining, and Intelligence Platforms – technical capabilities that enable one to derive insights from data (Pentaho, IBM InfoSphere, ListenLogic, MatLab, Mathematics, Statistica, etc.).
4. Knowledge Worker platform (AKA The human component) – The two most important capabilities come from data scientists (navigate through data) and behavioral scientists (navigate through human behavior, which most important things seem to connect back to).
In essence, Big Data has data, an ability to find it and use it, and an ability to explore and learn from it.
Does this seem right? Missing anything? Please post or email me.
Categories: Field Note