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ETL 2.0 - Data Engineering for developers

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Description

In this session we will demonstrate how a Data Engineer can develop and orchestrate the processes of data ingestion, data transformation and data loading at scale in Azure using Azure SQL Data Warehouse, Azure Databricks and Azure Data Factory. The combination of these three powerful Azure services enables a truly compelling advanced analytyical solution which accommodates both batch and real-time data analytics leading to a true 360 degree view of business performance.

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Day:

3

Session Type:

Breakout 75 minute

Code:

BRK4102

Room:

Sheraton: Metropolitan Ballroom A

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