Advanced Analytics with R and SQL Part II - Data Science Scenarios
Build and Operationalize scalable Predictive models and intelligent applications using SQL and R.
2017-07-27
1,676 reads
Data Science
Advanced Analytics with R & SQL: Part I - R Distributions
Build and Operationalize scalable Predictive models and intelligent applications using SQL and R.
2017-11-10 (first published: 2016-10-31)
3,481 reads
Data Science Laboratory System - Distributed File Databases
Distributed File Databases manage large amounts of unstructured or semi-structured data. Buck Woody shows how to install Hadoop in your Data Science lab to experiment with an example of the breed.
2014-04-03
3,170 reads
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.
2014-01-07
3,331 reads
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. Buck Woody experiments.
2013-08-16
3,457 reads
Data Science Laboratory System - Instrumentation
It is sensible to check the performance of different solutions to data analysis in 'lab' conditions. Measurement by instrumentation makes it easier to develop systems that are efficient.
2013-03-25
2,676 reads
The Data Scientist
Phil Factor on why Data Science is about much more than just clever visualizations and big data.
2013-01-21
244 reads
Setting up a Data Science Laboratory
There is no better way of understanding new data processing, retrieval, analysis or visualising techniques than actually trying things out. In order to do this, it is best to use a server that acts as data science lab, with all the basic tools and sample data in place. Buck Woody discusses his system, and the configuration he chose.
2012-12-21
3,335 reads
Blogs
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Book Review: Microsoft 365 Copilot and Agent Administration Fundamentals
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DML Trigger Types
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