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Azure offers a wide range of services that can be combined into a BI solution in the cloud.
This session focuses on the deeper integration of SQL Server Integration Services (SSIS) in Azure Data Factory (ADF) and the broad extensibility of Azure-SSIS Integration Runtime (IR).
SQL Server 2019 expands on the Polybase feature from SQL Server 2019 by providing a robust data virtualization solution to reduce the need for ETL and data movement. Come learn how new data connectors work with sources like Oracle, MongoDB, CosmosDB, Terradata, and HDFS.
What data profiling is & why you should do it.
To build analytical models, we need to start by extracting, transforming, cleaning, preparing and loading the data. This session analyzes a set of scenarios that may happen during the ETL step using the Power Query in Power BI.
This session is about using the Business Intelligence Markup Language (Biml) to monitor and control your orchestration patterns. By automatically analyzing the results in ETL logs, we’ll be able to automate our staging orchestration!
How to build a Live Data Warehouse using Change Tracking capabilities
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