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
1,607 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)
3,399 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
223 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
Fabric as a Data Mesh Enabler: Rethinking Enterprise Data Distribution
By Chris Yates
For decades, enterprises have approached data management with the same mindset as someone stuffing...
Truncate Table Pitfalls
Truncate Table Pitfalls Truncating a table can be gloriously fast—and spectacularly dangerous when used carelessly....
dataMinds Connect 2025 – Slides & Scripts
You can find all the session materials for the presentation “Indexing for Dummies” that...
Forums
Technological Dinosaurs or Social Dinosaurs?
Comments posted to this topic are about the item Technological Dinosaurs or Social Dinosaurs?
DBCC CHECKIDENT
Comments posted to this topic are about the item DBCC CHECKIDENT
Distributed Availability Group Health: T-SQL and Zabbix
Comments posted to this topic are about the item Distributed Availability Group Health: T-SQL...
Question of the Day
DBCC CHECKIDENT
What is returned as a result set when I run this command without a new seed value?
See possible answers