EDW Fall 23: Pillars of Cloud Native Architecture for Data Engineering
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In this session, we will discuss the meaning of the term "cloud native" and will talk about 4 pillars of a great cloud architecture:
- Availability
- Scalability
- Security
- Automation
We will talk about cloud elasticity and why everyone from Data Engineers to Developers should care about session resiliency. We will see how different traditional application architectures are from Cloud Native architecture and how traditional data pipelines are different from Cloud Native data pipelines.
Speaker: Maria Zakourdaev
Senior Data Engineer
Fintech Company

Maria is a Data Platform Microsoft MVP and a technology expert with more than 20 years of experience, a community leader with a profound knowledge of Microsoft products and services, while also being able to bring together diverse platforms, products, and solutions, to solve real-world problems.
Maria has a hands-on experience managing various data management technologies in Azure, AWS and Google public cloud platforms, including SQL Server, Azure CosmosDB, AWS DynamoDB, MemSQL, MySQL, Postgresql, Redis, Amazon Redshift, Couchbase and Elasticsearch, Spark, Databricks, Big Query.
Maria is an organizer of the annual conference "Data TLV" ( ex "SQL Saturday Israel"), a free training event for any data professionals: http://datatlv.com.
Maria is one of the featured authors at mssqltips.com (mssqltips.com/sqlserverauthor/305/maria-zakourdaev) and her personal blog is at blamblogger.blogspot.com.
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