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How to Start Big Data with Apache Spark

It is worth getting familiar with Apache Spark because it a fast and general engine for large-scale data processing and you can use you existing SQL skills to get going with analysis of the type and volume of semi-structured data that would be awkward for a relational database. With an IDE such as Databricks you can very quickly get hands-on experience with an interesting technology.

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More Power BI to your Elbow

Power BI Desktop continues to evolve. There have been many improvements to the reporting side that together make it easier to get from the data to the visualisation as quickly as possible. You can now create line charts that let users drill down into hierarchical data. There are now ways of adding dynamic reference lines to a visualization that provide users with relevant reference points. Robert Sheldon demonstrates how to combine these features to great effect.

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Restoring On Top II

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Question of the Day

Restoring On Top II

I have a database, DNRTest, that has a number of tables and other objects in it. The other day, I was trying to mock up a test and ran this code on the same server:

-- run yesterday
CREATE DATABASE DNRTest2
GO
USE DNRTest2
GO
CREATE TABLE NewTable (id INT)
GO
Today, I realize that I need a copy of DNRTest for another mockup, and I run this:
-- run today
USE Master
BACKUP DATABASE DNRTest TO DISK = 'dnrtest.bak'
GO
RESTORE DATABASE DNRTest2 FROM DISK = 'dnrtest.bak' WITH REPLACE
What happens?

See possible answers