Gold Fringed Data in Standard Edition


Big Data => Gold Fringed Data in Oracle Standard Edition?

Yesterday I wrote a post where I asked the question “Big Data in Standard Edition Seriously?“, because it struck me that I had misinterpreted the concept Big Data, and as I see it, this is not something that should only be available to large Enterprises.

I am a complete novice on this, since I started to study this yesterday, but somehow I cannot understand why this should be a “no-can-do-thing” for smaller companies. To my understanding all companies struggles with the same issues like “how to grow”, “how to make their customers satisfied”, “what service should we provide”, “what processes do we need to refine” and so on, they only have less data. The concept “Big Data” is therefor misleading, and I would like to call the small companies data “Gold Fringed Data”, since it is as valueable to their business as “Big Data” is for the enterprise.

I found this article from Pierre-Luc Paquin on twitter


This article gave me new insight in what kind of “Big Data=Gold Fringed Data” actually already is available to small companies.

Another article from SAS just made me more convinced about the benefits small companies could gain from their “Gold Fringed Data”

A part from the article about why you should consider using Hadoop:

  1. Low-cost storage and active data archive. The modest cost of commodity hardware makes Hadoop useful for storing and combining big data such as transactional, social media, sensor, machine, scientific, click streams, etc. The low-cost storage lets you keep information that is not currently critical but could become useful later for business analytics.
  2. Staging area for a data warehouse and analytics store. One of the most prevalent uses is to stage large amounts of raw data for loading into an enterprise data warehouse (EDW) or an analytical store for activities such as advanced analytics, query and reporting, etc. Organisations are looking at Hadoop to handle new types of data (e.g., unstructured), as well as to offload some historical data from their EDWs.

I know of some Oracle Standard Edition Customers in the past that I have been working with, that have large amount of historical data that are not dead, but ice cold – They are seldom using it, but every now and then, an old customer asks about the information, and they need to put a very large amount of time and effort into retrieving the old data. So I just asked my self, wouldn’t Hadoop bring a nice solution to this? To my knowledge, Hadoop is an open-source, so the costs wouldn’t be that high I assume.

When Hadoop once is implemented who knows, by letting the imagination loose, maybe one or two new services could just flourish from there, and the small company can grow to become an Enterprise.

It’s easy letting the imaginagation loose at the beginning of a new learning path. Everything is possible. That’s the beauty of learning.

If you have good articles or stuff about Big Data I hope you share the information, since I am searching for opportunities for smaller companies that are using Oracle Standard Edition Database (or any other vendor), because I am sure they value their “Gold Fringed Data” as much as the big Enterprise values their “Big Data”

Take care, stay well and have a lovely day


Turku 13.5.2015

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