Announcing Yet Another Big Data Book (but this one by a local author) by Jules J. Berman.
From the post:
My book, Principles of Big Data: Preparing, Sharing, and Analyzing Complex Information was published this month, and Sean Murphy invited me to write a few words about Big Data (and to plug the book).
Berman lists his main points as:
1. Identifiers: you cannot create a good Big Data resource without them.
2. Data should be described with metadata, and the metadata descriptors should be organized under a classification or an ontology.
3. Big Data must be immutable.
4. Big Data must be accessible to the public if it is to have any scientific value.
5.Data analysis is important, but data re-analysis is much more important.
Sounds interesting but there aren’t enough reviews online for me to splurge on a copy just yet.
BTW, if you read Berman’s post you will find a discount code you can use for 30% off and free shipping at the Elsevier order site.
I am particularly sympathetic to the immutable data point.
We either are at or nearly at the point of eliminating the need for data to change, ever.
Which should make auditing financial records easier. Change will be difficult and the first sign of fraud.
Not sure if present governments will survive the transition.