7 Batch queries with Azure Data Lake Analytics
This chapter covers
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Writing job queries using U-SQL
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Creating U-SQL jobs
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Creating a Data Lake Analytics service
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Estimating appropriate parallelization for U-SQL jobs
In the last chapter, you used Azure Stream Analytics as a source for raw data, using a passthrough query. The passthrough query takes incoming data and passes it to the output, in this case files in Azure Data Lake Storage (ADLS). Figure 7.1 shows this use of Stream Analytics in parallel with the serving layer.
Figure 7.1 Lambda architecture with Azure PaaS Speed layer
This is the latest example of prep work for batch processing ...
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