SQL Server Integrates Hadoop and Spark out-of-the box: The Why?
Why has Microsoft added new capabilities in SQL Server to connect to other types of data sources? Read on to learn more.
2021-05-14 (first published: 2019-09-09)
9,695 reads
Spark
Distributed Computing Principles and SQL-on-Hadoop Systems
A look at SQL-On-Hadoop systems like PolyBase, Hive, Spark SQL in the context Distributed Computing Principles and new Big Data system design approach like the Lambda Architecture.
2019-09-06 (first published: 2017-10-26)
5,390 reads
Scala and Apache Spark in Tandem as a Next-Generation ETL Framework
Scala and Apache Spark might seem an unlikely medium for implementing an ETL process, but there are reasons for considering it as an alternative. After all, many Big Data solutions are ideally suited to the preparation of data for input into a relational database, and Scala is a well thought-out and expressive language. Krzysztof Stanaszek describes some of the advantages and disadvantages of a scala-based approach to implementing and testing an ETL solution.
2017-06-12
4,658 reads
RE: Query Analyzer and sysdepends
HELLO BRIAN,Not sure if this is the best way to add on a question to this topic, but could not find alternative... I just loaded a script with about 20 stored procedures. they were in alpha order rather than ordered by called procedures prior to the calling procedures. should I worry that I got this […]
2005-02-21
RE: Poor Trigger Performance - Why?
As far as cutting down the number of rows processed, that is effectively what I am doing with... WHERE PoliID IN (SELECT PoliID FROM Inserted) ...(PoliID is the Primary Key field) I have tried using an INNER JOIN on the ‘Inserted’ table instead but it causes the trigger processing to take even longer for some reason. The following […]
2005-01-19
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Inside SQL Server Backup and Restore History Pruning with sp_delete_backuphistory
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Azure Data Lake Storage Gen 2
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