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10 tips for a successful migration from Databricks and ADF to Synapse Dave Ruijter
Are you planning a migrating of your data platform to Azure Synapse Analytics? Is it currently based on Azure Databricks, Azure Data Factory, and Azure Data Lake Storage? Make sure to grab these 10 tips! We'll talk about Spark compatibilities, orchestration pitfalls and solution deployment differences.
Architectural blueprints for the Modern Data Warehouse Just Blindbæk
This session will walk you through three different ways to set up an affordable Azure based Data Warehouse solution. Covering pros and cons with each of the architectures.
Azure Data Engineering services used to analyze data Kevin Chant
Overview to some of the more popular Azure Data Engineering services used to analyze data
Azure Data Factory - A deployment challenges Kamil Nowinski
I will show a few challenges while deploying Azure Data Factory and solution for them.
Azure Synapse Analytics Pipelines: a 360-degree view Carey Payette
Introductory view into Azure Synapse Analytics
Building the Lakehouse Architecture with Azure Synapse Analytics Mike Dobing
A intro session showing the whys, how's and what's for building a Data Lakehouse in Azure Synapse Analytics
Creating a Metadata Driven Orchestration Framework Using Azure Data Integration Pipelines Paul Andrew
We'll explore delivering this framework within an enterprise and consider an architect’s perspective on a wider platform of ingestion/transformation workloads with multiple batches and execution stages.
Data Governance with Azure Purview - Theory, Customer Insights and Demos Bernhard Engleder
This data governance session guides you through the organization processes, policies and roles that are required for a successful data governance adoption. In addition to demos showing the possibilities of Azure Purview (the MS data governance service), we will share about experiences from our data governance workshops and adoption projects with our customers.
Data Lakehouse, Data Mesh, and Data Fabric (the alphabet soup of data architectures) James Serra
I'll explain the current popular data architectures: Data Lakehouse, Data Mesh, and Data Fabric
Dedicated SQL Pools : How some stuff 'really' works Mark Pryce-Maher
Session covering table distributions, partitioning , RSC and materialised views.
EDW Automation in Synapse SQL Pools Bob Duffy
DW Automation and Design Best Practices
Enterprise Scale Analytics - What's in it for me Oliver Engels
Reality Check on Microsofts Enterprise Scale Analytics Framework
Github and Azure DevOps Duet - SQLBits edition Kevin Chant
A tale about how a development team and an operations team must bond together and figure out how to use GitHub and Azure DevOps together for Data Platform deployments.
Hitting Top Speeds with Spark SQL in Azure Synapse Ajith Ramanath
Tips and tricks for getting the best performance out of Spark SQL on Synapse Analytics while keeping costs under control.
Is HTAP the future? Scott Bell
Hybrid Transactional Analytical Processing solve the age old problem of integrating operational processes with analytical capabilities within a single system. Find out what they're and how they deliver value
Lake Database with Database Template and Mapping Data with Azure Synapse Analytics Erwin de Kreuk
Learn how to easily build your lake database without having to start with a blank canvas on Azure Synapse.
Lessons Learned: Implementing Azure Synapse Analytics in a Rapidly-Changing Startup Cathrine Wilhelmsen
What happens when you mix one rapidly-changing startup, one data analyst, one data engineer, and one hypothesis that Azure Synapse Analytics could be the right tool of choice?
Machine Learning in Azure Synapse Terry McCann
There is a lot of content available on Synapse for Data Engineering, but what about Machine Learning? In this session we will look at how to integrate a SparkML model in Synapse.
Overview of Azure Synapse Analytics Dave Ruijter
Curious what Azure Synapse Analytics brings to the table? Bring your scuba gear, as we take a dive and explore everything it has to offer!
Practical Lakehouse implementation in the enterprise Ivan Donev
Everything you need to know for impelenting a Lakehouse in the enterprise
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