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Building Data Analytics Pipelines Using Azure Data Factory, HDInsight, Azure ML and More
Imagine having the time to get more from your data by focusing on high quality analytics, and not on integrating diverse tools, managing infrastructure or establishing connectivity to all the data (on premises or cloud) you need. With Azure Data Factory (ADF), you can easily compose Azure services and diverse data sources into highly available, fault-tolerant data pipelines. In this demo driven session, you learn, by example, how to build and manage scalable analytics pipelines that can be applied to real world use cases like device telemetry analysis, automated risk processing and customer profiling.
Data Architect’s guide for successful Open Source patterns in Azure with Spark, Hive, Kafka, Hbase, etc.