925 search results for "sql"

Tutorial: Credit Card Fraud Detection with SQL Server 2016 R Services

February 8, 2016
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Tutorial: Credit Card Fraud Detection with SQL Server 2016 R Services

If you have a database of credit-card transactions with a small percentage tagged as fraudulent, how can you create a process that automatically flags likely fraudulent transactions in the future? That's the premise behind the latest Data Science Deep Dive on MSDN. This tutorial provides a step by step to using the R language and the big-data statistical models...

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Using PostgreSQL in R: A quick how-to

February 1, 2016
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Using PostgreSQL in R: A quick how-to

The combination of R plus SQL offers an attractive way to work with what we call medium-scale data: data that’s perhaps too large to gracefully work with in its entirety within your favorite desktop analysis tool (whether that be R or Excel), but too small to justify the overhead of big data infrastructure. In some … Continue reading...

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Data Manipulation in R: Beyond SQL

January 19, 2016
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Data Manipulation in R: Beyond SQL

As a follow up to an article on using SQL in R, I just had an new article published at Simple Talk that considers ways to manipulate data in R that are cumbersome in SQL as well as ways to replace SQL statements with functional equivalents.

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A use of gsub, reshape2 and sqldf with healthcare data

December 18, 2015
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A use of gsub, reshape2 and sqldf with healthcare data

Building off other industry-specific posts, I want to use healthcare data to demonstrate the use of R packages. The data can be downloaded here. To read the .CSV file in R you might read the post how to import data in R. Packages in R are stored in libraries and often are pre-installed, but reaching

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Tutorial: Data Science with SQL Server R Services

December 17, 2015
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Tutorial: Data Science with SQL Server R Services

You may have heard that R and the big-data RevoScaleR package have been integrated with with SQL Server 2016 as SQL Server R Services. If you've been wanting to try out R with SQL Server but haven't been sure where to start, a new MSDN tutorial will take you through all the steps of creating a predictive model: from...

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Bringing the powers of SQL into R

December 11, 2015
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Bringing the powers of SQL into R

One of the big flaw of R is that data loaded into it are stored in the memory (on the RAM) and not on the disk. As you are working in an analysis with large (big) data the processing time of simple and more complex functions can become very long or even crash your computer.

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Exploring Recursive CTEs with sqldf

December 1, 2015
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Exploring Recursive CTEs with sqldf

by Bob Horton Sr. Data Scientist at Microsoft Common table expressions (CTEs, or “WITH clauses”) are a syntactic feature in SQL that makes it easier to write and use subqueries. They act as views or temporary tables that are only available during the lifetime of a single query. A more sophisticated feature is the “recursive CTE”, which is a...

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DataOps at SQL in the City

November 24, 2015
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DataOps at SQL in the City

By Steph Locke Back in October, I had the pleasure of going along to the annual Redgate conference SQL in the City. This was a great day full of informative talks on how people are becoming more agile with their … Continue reading →

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Demo: R in SQL Server 2016

October 30, 2015
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At the PASS Summit in Seattle this week, Microsoft's Jason Wilcox and Gopi Kumar demonstrated a SQL Server 2016 application that embeds R to predict what time you need to leave to catch a flight, given traffic, check-in time, and the likelihood of a flight leaving early or being delayed. The underlying preditive model was created with the RevoScaleR...

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Revolution R now available with SQL Server Community Preview

October 28, 2015
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Revolution R now available with SQL Server Community Preview

The new SQL Server 2016 is now available as part of the Community Technical Preview program, and as presaged it embeds connectivity with the R language and the big-data statistical algorithms of Revolution R Enterprise. SQL Server 2016 includes two ways of calling R. The first is by embedding R code direcly in a SQL Stored Procedure, which can...

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