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Session Details:
Ever wanted to get started with data transformation with Spark but feel left out because you don't know Python or Scala?
Azure Synapse Spark Pools allow you to process structured, semi-structured, and unstructured data with ease and we shall show you how!
Along the way, we will explore the overall architecture for Spark Pools, look at notebook organization, design best practices, and see how the Spark SQL Language can solve common ETL problems and integrate with Serverless pools.
By the end of this session, you will have another tool at your disposal to cleanse, transform and enrich data.
Speaker Bio:
Hi, my name is Jason Horner. I'm an independent consultant and trainer focused on the Azure Data Platform. I spend most of my day helping clients solve business problems mostly in the Data and Advanced Analytics spaces. Sometimes this involves various and sundry cloud technologies including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Store, Azure Databricks, HDInsight, and Azure SQL Database. I'm fluent in several languages including SQL, C#, Python, and PowerShell.
I'm a Microsoft Certified Master of SQL Server (MCM) and have been recognized for my technical excellence and evangelism efforts by Microsoft by being previously awarded the Most Valuable Professional (MVP) for the 6 years.
I'd love to speak at your upcoming event or user group so don't hesitate to email me or reach out on LinkedIn or Twitter.
In my off hours I like to snowboard, karaoke, ride roller coasters and play arcade games
Host/s:
Mark Broadbent.
Mikael Wedham.
Originally recorded on 9th February 2022.
Video Production: Mark Broadbent 25th April 2022.
00:00 Introduction
00:58 Spark Overview
09:12 Demo 1 - Spark Pool Creation and Configuration
16:16 Spark and Notebooks Overview
25:55 Demo 2 - Working with Spark and Synapse Studio
33:33 Putting it all together
45:04 Demo 3 - Lessons learnt
54:05 Managing your environment
55:40 Key take aways
56:23 Questions
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