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Spark
(23)
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
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
Data Engineering the Hard Way: Developing Spark Applications on Kubernetes
Gavin Campbell
Self-hosting Spark in Containers
Implementing a Data Quality Framework in Purview
Ust Oldfield
Building a Data Quality implementation in Purview using the Glossary and Databricks
Leveraging Apache Spark for Efficient Data Encryption at Scale
Daniel Harrington
This session will discuss a custom solution we have built to solve the problem of row level encryption in a highly complex data lake.
Migrate traditional DW transformations to Spark/Scala
Sergiy Lunyakin
Join me to learn how to migrate a traditional DW transformation process to Spark/Scala based platform and reuse existed experience
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!
An introduction to Azure Synapse Analytics!
Mahesh Balija
Azure Synapse Analytics combines the power of Data Lakes with Data Warehouses, empowering the organizations to build Big Data, Advanced Analytics and Business Intelligence in one single platform.
Azure AI, Power new possibilities for every organization
Lindsey Allen
AI and data is at the center of the digital feedback loops. We have invested in a comprehensive portfolio of AI tools, infrastructure and services. Come to this session to get an update of Azure AI with demos.
Big Data Processing with .NET and Spark
Michael Rys
Come learn how to use .NET and Spark together in Azure Synapse and elsewhere to cook and analyze your data!
Building Modern Data Warehouse with Azure Synapse Analytics!
Mahesh Balija
Azure Synapse Analytics combines the power of Data Lakes with Data Warehouses, empowering the organizations to build Big Data, Advanced Analytics and Business Intelligence in one single platform.
Common Data Model-Our new buddy for Data Governance
Oliver Engels
Common Data Model as the foundation of Power BI Dataflows and as part of the Open Data Initiative with SAP and Adobe, seems to be a pretty good move from Microsoft. We want to take a closer look to this approach
Data Exploration & Experimentation with Notebooks in Azure
Ian Griffiths
Learn how Azure supports interactive, exploratory notebooks (e.g. Jupyter) for data processing and experimentation across a range of scales from simple single-computer work up to massively parallel Databricks clusters.
Databricks, Delta Lake and You
Simon Whiteley
Databricks, Lakes & Parquet are a match made in heaven, but explode with extra power when using Delta Lake. This session will dive into the details of how Databricks Delta works and how to make the most of it.
ETL in Azure Made Easy with Data Factory Data Flows
Paul Andrew
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.
How Delta Lake with Azure Databricks can accelerate your big data workloads
Bhanu Prakash
Come learn how you can leverage the new and advanced features of Delta Lake on Azure Databricks to easily transform your big data analytics and machine learning workloads
Machine Learning in Azure Databricks
Terry McCann
In this session we focus on how Spark implements Machine Learning at Scale with Spark ML.
Microsoft certifications for the Data & AI professional
Sandra Marin
Are you looking to take your career to the next step? Microsoft Certifications help validate knowledge and ability required to perform current and future industry job-roles in a modern digital business. Our certification
Performance Optimization with Azure Databricks
Richard Conway
Azure Databricks has become one of the staples of big data processing. See how to make the most of it by understanding how Spark works under the covers.
Predictive Maintenance with Azure Synapse
James Broome
This session provides an end-to-end walk through of how to use Azure Synapse for cloud-hosted advanced analytics, based around a real-world predictive maintenance use case.
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