Jobs that use transformations

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A single job entry can be placed multiple times on the canvas; for example, you can take a single job entry such as a transformation run and place it on the canvas multiple times using different configurations. Job settings are the options that control the behavior of a job and the method of logging a job’s actions.
A single job entry can be placed multiple times on the canvas; for example, you can take a single job entry such as a transformation run and place it on the canvas multiple times using different configurations. Job settings are the options that control the behavior of a job and the method of logging a job’s actions.

However, given the wide variety of transformations available with Spark, it's sometimes confusing which one delivers better performance for a particular use case. Like most organizations that used Spark for the first time, we enjoyed writing super simple code for our big data jobs.

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Jobs that use transformations

A job has one start place, and executes one step at a time, with one flow through the steps. A transformation has many possible start places and all steps execute in parallel. If a step has a step before it, it will take the data in there, and use it. In my use I usually schedule jobs, to run transformations in process to get and transform data.

Mapping data flows are visually designed data transformations in Azure Data Factory. Data flows allow data engineers to develop graphical data transformation logic without writing code. The resulting data flows are executed as activities within Azure Data Factory pipelines that use scaled-out Spark clusters. Use this task to apply file transformations and variable substitutions on configuration and parameters files. For details of how translations are processed, see File transforms and variable substitution reference. File transformations. At present file transformations are supported for only XML files.
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An experienced and highly capable leader—the chief transformation officer (CTO)—will significantly improve the chances of a successful transformation. In our work with scores of companies that have embarked on this course, we’ve seen CTOs single-mindedly drive the organization forward and hold ...

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