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Which New Technology Should I Chase?

It is a question that almost anybody working in IT occasionally ask themselves. 'How can I best develop my career to make sure my skills and experience remain in demand?' The questions may be spurred by a variety of reasons, including job-insecurity, dissatisfaction, or a wish for career advancement. So what advice would you give? Buck Woody tackles the difficult question with some straight-forward advice..… Read more

Data Science Laboratory System – Distributed File Databases

Distributed File Databases manage large amounts of unstructured or semi-structured data. They are designed on the principle of splitting up the data into multiple locations, and then placing the code that processes each fragment close, or directly on, that location. Buck Woody shows how to install Hadoop in your Data Science lab to experiment with an example of the breed.… Read more

Data Science Laboratory System – Object-Oriented Databases

Object-Oriented Databases (OOD) avoid the object-relational impedence mismatch altogether by tightly integrating into the user-level OOP code to the extent that they are simply an engine that ships with the code itself. The developer is able to instantiate OOD objects directly into the code. Buck Woody explores the Object-Oriented breed of database in his Data Science lab.… Read more

Data Science Laboratory System – Graph Databases

Graph database are an intriguing alternative to the relational model. They apply graph theory to record the relationships between entries more naturally, and are a good fit for a range of data tasks that are difficult in SQL. Buck Woody gives an introduction to Graph databases and shows how to get Neo4J up and running to get familiar with the technology.… Read more

Data Science Laboratory System – Document Store Databases

A Document Store Database (DSD) is similar to a Relational Database Management system with the exceptions that a DSD allows for unstructured data and sharding a single database across multiple machines. So when or why would you choose a document database over a relational one? Buck Woody has the answer and an example using the DSD MongoDB on his lab system.… Read more

Data Science Laboratory System – Key/Value Pair Systems

Though the Key/Value pair paradigm is common to almost every computer language, there is no clear agreement yet for the definition of a Key/Value Pair database. However, Key/Value pair databases are valuable for special applications where speed of writing data is more important than searching and general versatility. It is certainly worth experimenting with in a data science lab.… Read more

The Lure of Simplicity in IT

A deceptively simple solution to a business-re-engineering problem can beguile companies into selecting a compromise that doesn't actually meet all their needs. Simple is great, but not at the expense of functionality. Some IT solutions are complex because the problem is complex, but they can be made conceptually clearer… Read more

Windows Azure from a Data Perspective

Before creating a data application in Windows Azure, it is important to make choices based on the type of data you have, as well as the security and the business requirements. There are a wide range of options, because Windows Azure has intrinsic data storage, completely separate from SQL Azure, that is highly available and replicated. Your data requirements are likely to dictate the type of data storage options you choose.… Read more

The ASs of Distributed Computing

What's The 'Cloud'? nothing more than one or more of three different types of distributed service, conceptually similar to any other service such as telephone or gas. These services provide Infrastructure, Software and platform. Buck Woody cuts a trail through the jungle of marketing verbiage to reveal the technology behind the Cloud..… Read more

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