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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

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How to partition data in Tabular SSAS

Partitioning data is a standard SQL Server administration practice. Partitions enable independent administration of different slices of data. When a SQL Server Analysis Services (SSAS) tabular data model is developed and processed, data is read from the source system and loaded into the tabular data model configured in In-Memory processing mode. Every time the model is processed, the entire data set may not require re-processing. Only certain slices of data containing changes may require re-processing which can be achieved by partitioning data into logical slices. In this post, Siddharth Mehta looks at how to partition tables in Tabular SSAS.

2017-06-08

2,832 reads

External Article

Comparing SSIS Catalog Contents Using DBFit Framework

When you are doing the rapid deployment of an updated SSIS project, there are a number of things you have to check to make sure that the deployment will be successful. These will include such settings as the values in environment variables, Package parameters and project parameters. The DbFit test framework turns out to be ideal for the purpose of doing final checks as part of a deployment process, as Nat Sundar demonstrates.

2017-06-07

3,586 reads

External Article

Free ebook: Stairway to SQL Server XML

Free download to all Simple Talk users. XML has been part of the SQL Standard since 2003, and is essential for any DBA because so many of the dynamic management views return XML data. Now that the industry is more used to data defined by document markup, it is becoming more important than ever for Database Developers and DBAs to understand the technology and to know where it makes sense to use XML.

2017-06-02

6,152 reads

External Article

Introducing DLM Techniques for a Multi-Database Multi-Server System

Although the techniques of Database Lifecycle Management can reduce the timescales for the delivery of new functionality to business systems, what if the database 'layer' consists of several large interdependent databases and data flows with replication and audit? Does DLM scale to this level of complexity? Margaret Cruise O'Brien starts a series of articles that describes the practicalities of improving DLM within an existing framework and team supporting a multi-database multi-server system, by describing some of the database management problems and solutions in an enterprise-scale database.

2017-06-02

2,744 reads

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Getting Database MaiL Profiles

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