Advanced Analytics with R & SQL: Part I - R Distributions
Build and Operationalize scalable Predictive models and intelligent applications using SQL and R.
Build and Operationalize scalable Predictive models and intelligent applications using SQL and R.
This Friday Steve Jones wants to know about the lifetime of your instances. Do you have some idea on how long you'll run a particular version of a platform?
Your Agile developers want MongoDB, or a similar document database: your Ops people are concerned about security and backup, and Governance are muttering about transactionality and data transfer between systems. Do you restrict your developers from rapidly-evolving the data design for their domain or do you embrace the joys of NoSQL unconditionally? If you accept a polyglot database environment, where the NoSQL lambs coexist with the relational lions, how do you provide tools and common database concepts that everyone can use and understand?
This article will show how to change the data type of a column when the table contains more than 1 billion records.
A lot of us are introverted, so is there anything that can be done about it?
How do you get management to help you figure out if a cluster or an AG is right for you? In this post, Brent Ozar explains the steps involved when doing a review of your SQL Server architecture.
This week Steve Jones asks about moving to the cloud and how interesting that might be to the community?
Although you can get started with R in SQL Server without understanding data frames, they are a key structure of the R language that are the equivalent of SQL Server table variables. They give you many ways of manipulating and analyzing data and passing it between R and SQL Server. For a database professional, they provide a clear and familiar concept when getting to grips with integrating R into the database.
This book holds the key to "encryption without fear". In it, John Magnabosco sweeps away some of the misconceptions surrounding SQL Server's encryption technologies, and demonstrates that, when properly planned and implemented, they are an essential tool in the DBA's fight to safeguard sensitive data.
Patents are one way that governments can spur innovation. However many people think software patents should be eliminated. Steve Jones doesn't think so, but would like reform.
Thank you to everyone who participated in T-SQL Tuesday #198! When I wrote the...
Efficient query performance in Amazon Redshift often comes down to how well you manage...
By gbargsley
Welcome back to PowerShell Strikes Back. We’re three weeks in, and the training is...
Comments posted to this topic are about the item Stairway to Reliable Database Deployment...
Comments posted to this topic are about the item QUOTENAME Quote Parameters
Comments posted to this topic are about the item Limit the Blast Radius
When I use QUOTENAME(), I can optionally provide the character used to surround the string in the result. Can I use any character?
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