Name: Paul Andrew - ETL in Azure made easy with Data Factory Data Flow Talk
Start: 2019-03-26T18:00:00Z
End: 2019-03-26T20:00:00Z
Location: JUST EAT

This month we have Paul Andrew taking us through using Azure Data Factory & Data Bricks.

As always beer & pizza will be provided, along with some time to network with the other meetup members.

-- Abstract --

What happens when you combine a cloud orchestration service with a Spark cluster?! The answer is a feature rich, graphical, scalable data flow environment to rival any ETL tech we’ve previously had available in Azure. In this session we’ll look at Azure Data Factory v2 and how it integrates with Azure Data Bricks to produce a powerful abstraction over the Apache Spark analytics ecosystem. Now we can transform data in Azure using Data Bricks but without the need to write a single line of Scala or Python! If you haven’t used either service yet, don’t worry, you’ll get a quick introduction to both first before going deeper into the new ADF Data Flow feature.

-- Paul's Bio --

Microsoft Data Platform MVP. 10+ years’ experience working with the complete on premises SQL Server stack. Now a data analytics consultant dealing with big data platforms in Azure. Specialising in Data Factory, Data Bricks, Data Lake and Stream Analytics.

Luke Merrett

Tim van Wijk

Big Data Bristol

Technology

Big Data

Hadoop

MapReduce

Predictive Analytics

Machine Learning

Cloud Computing

Business Intelligence

Data Management

Data Analytics

Data Mining

NoSQL

Apache Spark

Paul Andrew - ETL in Azure made easy with Data Factory Data Flow Talk

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Paul Andrew - ETL in Azure made easy with Data Factory Data Flow Talk

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