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
1,613 reads
Build and Operationalize scalable Predictive models and intelligent applications using SQL and R.
2017-07-27
1,613 reads
Build and Operationalize scalable Predictive models and intelligent applications using SQL and R.
2017-11-10 (first published: 2016-10-31)
3,403 reads
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
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
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
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
Phil Factor on why Data Science is about much more than just clever visualizations and big data.
2013-01-21
226 reads
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
One feature that I have been waiting for years! The new announcement around optimize...
Following on from my last post about Getting Started With KubeVirt & SQL Server,...
By DesertDBA
I haven’t posted in a while (well, not here at least since I’ve been...
hi, i noticed the sqlhealth extended event is on by default , and it...
Hi everyone, I’m looking for some guidance on a SQL Server performance issue I’ve...
Using New-AzSqlInstanceServerTrustCertificate to import a certificate and get the message New-AzSqlInstanceServerTrustCertificate: Long running operation...
I am currently working with Sql Server 2022 and AdventureWorks database. First of all, let's set the "Read Committed Snapshot" to ON:
use master; go alter database AdventureWorks set read_committed_snapshot on with no_wait; goThen, from Session 1, I execute the following code:
--Session 1 use AdventureWorks; go create table ##t1 (id int, f1 varchar(10)); go insert into ##t1 values (1, 'A');From another session, called Session 2, I open a transaction and execute the following update:
--Session 2 use AdventureWorks; go begin tran; update ##t1 set f1 = 'B' where id = 1;Now, going back to Session 1, what happens if I execute this statement?
--Session 1 select f1 from ##t1 where id = 1;See possible answers