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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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Question of the Day

DBCC CHECKDB Limits II

I have a SQL Server 2025 database that I want to check for corruption every night. One of the things we do is disable indexes used for ETL loads during the weekend and re-enable them on Monday morning. If we run DBCC over the weekend, are our disabled indexes checked for consistency?

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