FIELD NOTE: Quadrification of Big Data

Newimage27I 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

Tags: , , ,

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: