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
1,621 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)
3,414 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
230 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
5 Starter Projects for Your AI and Data Engineering Portfolio
Reading tutorials is fine. Shipping something is better. If you are trying to break...
The Book of Redgate: Taking Breaks
By Steve Jones
We work hard at Redgate, though with a good work-life balance. One interesting observation...
Database AI Agents: The Read-Only Rule
By Arun Sirpal
Fourth in a series on Ai and databases. What Read-Only Advisory Actually Means A...
Forums
Pro SQL Server Internals
Comments posted to this topic are about the item Pro SQL Server Internals
SQL ART: Who's Blocking Who? Visualising SQL Server Blocking With Spatial Geometry
Comments posted to this topic are about the item SQL ART: Who's Blocking Who?...
Running SQLCMD II
Comments posted to this topic are about the item Running SQLCMD II
Question of the Day
Running SQLCMD II
I run this command to start SQLCMD:
sqlcmd -S localhost -E -c "proceed"At the prompt, I type this (the 1> and 2> are prompts):
1> select @@version 2> goWhat happens? See possible answers