Not a few big organizations find their databases (or data warehouses) crammed with a huge number of old data tables, sometimes tens of thousands of them, after many years of operation. People have already forgotten why they are created; these tables even have long been useless. But all are kept for fear of mistaken deletion, causing heavy operation and maintenance workload. Moreover, a large number of stored procedures feed data continuously to these tables, seriously consuming the…
ContinueAdded by JIANG Buxing on November 15, 2017 at 1:00am — No Comments
The images on this blog are from an algorithmic environment that I first developed about 15 years ago - rendered using a graphical system that I wrote in Java. A “differential lattice” is a structured array of differences between two points: e.g. the difference between the closing price of a stock on day T-0 (today) and T-6 (a week ago). Consequently, if the closing prices are $10.10, $10.20, $10.30, $10.40, and $10.50 (today), then 0/3 is from T-0/T-3 or $10.50 less $10.20 = $0.30. A…
ContinueAdded by Don Philip Faithful on August 12, 2017 at 5:30am — No Comments
Relation, Relationship and Association
While most players in the IT sector adopted Graph or Document databases and Hadoop based solutions, Hadoop is an enabler of HBase column store, it went almost unnoticed that several new DBMS, AtomicDB previous database engine of …
ContinueAdded by Athanassios Hatzis on September 7, 2016 at 4:00am — No Comments
I find that different types of surveys represent a large source of data for many organizations: client questionnaires; recruitment interviews; incident debriefings; interrogations; borehole drilling surveys; quality control checks; marketing surveys; security and patrol logs; and inventory audits. I believe that for many people, the idea of collecting information using surveys makes sense; and they recognize the need for the data. Problems arise in relation to the transition from survey to…
ContinueAdded by Don Philip Faithful on October 10, 2015 at 6:09am — No Comments
In this blog, I will be discussing some distinct types of data involved in feedback. The types that I will be covering are as follows: 1) structural; 2) event; 3) quantitative; 4) contextual; and 5) systemic. In 2014, I recall reading a number of blogs about three types of data: prescriptive, descriptive, and predictive. There was a data scientist apparently on tour lecturing extensively about these three types. I don't recall the individual's name. Well, prescription, description, and…
ContinueAdded by Don Philip Faithful on July 5, 2015 at 4:56am — No Comments
The first computer program that I encountered mimicking or emulating human interaction through language was called "Eliza." The version that I knew ran on the Commodore PET. It communicated in English. Eliza made comments that made some sense but which indicated lack of understanding of the conversation. If a person mentions "mother," Eliza might…
ContinueAdded by Don Philip Faithful on June 20, 2015 at 5:06am — No Comments
As we've seen how in-place and in-memory work differently, today we are sharing more fundamentals of in-place computing model. This models was designed to solve "Big and Complex Data," - not just about size but more about the complexity. We see many analytic cases today incorporate…
ContinueAdded by Yuanjen Chen on January 13, 2014 at 12:30am — 3 Comments
Here’s a brilliant presentation from Mike Bowers, Principal Engineer at the Church of Jesus Christ of Latter Day Saints. It accomplishes two major objectives; Mike reviews the strengths and weaknesses of the five major classes of databases today (relational, dimensional, object, graph and document). He then dissects the major NoSQL databases on the market including MarkLogic, Mongo, Riak, Cloudant/Couch DB and Cassandra. How do they stack up? Are they enterprise ready? If developer…
ContinueAdded by Tony Agresta on January 4, 2013 at 10:20am — No Comments
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