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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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Which Result II

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Question of the Day

Which Result II

I have this code in SQL Server 2022:

CREATE SCHEMA etl;
GO
CREATE TABLE etl.product
(
    ProductID INT,
    ProductName VARCHAR(100)
);
GO
INSERT etl.product
VALUES
(2, 'Bee AI Wearable');
GO
CREATE TABLE dbo.product
(
    ProductID INT,
    ProductName VARCHAR(100)
);
GO
INSERT dbo.product
VALUES
(1, 'Spiral College-ruled Notebook');
GO
CREATE OR ALTER PROCEDURE etl.GettheProduct
AS
BEGIN
    exec('SELECT ProductName FROM product;')
END;
GO
When I execute this code as a user whose default schema is dbo and has rights to the tables and proc, what is returned?

See possible answers