Margarita Naumova
CEO, Data Platform Architect at Inspirit
Magi Naumova is an SQL Server Architect and Consultant, speaker and trainer, Microsoft Certified Master, MVP, MCT, Founder of SQL Master Academy, and founder and CEO Of Inspirit Data Platform Consulting Company in Bulgaria and Norway, founder, and the leader of Bulgarian SQL & BI User group and Azure Analytics USer Group BG. She has more than 20 years SQL Server training and consulting experience. Magi is a former member of Microsoft Services Worldwide Technical Leadership Team. Currently she speaks, writes, trains and consults people on SQL Server. She is MVP for 11 years in a row. Her unique SQL Master Academy training program has helped hundreds of specialists to feel knowledgeable in their daily work or to find an inspirational career path in the world of SQL Server.
Awards
From zero to Data Catalog with Azure Purview
Azure Purview is a data governance service that helps you manage and govern your on-premises, multi-cloud, and software-as-a-service (SaaS) data. With Purview, Microsoft delivers an Azure service that can help customers understand exactly what data their company has and provide means to manage the data's compliance with privacy regulations and derive valuable insights. During the session we will go step by step through the process of building Unified Data Catalog in Azure Purview, which will enable data consumers to find valuable, trustworthy data. You will see how easily you can create a holistic, up-to-date map of your data landscape with automated data discovery, sensitive data classification, and end-to-end data lineage. The session is rich of demos and examples which can help you build a good understanding and a basic knowledge of Azure Purview so that you can dive deeper later.
From zero to Data Catalog with Azure Purview
Azure Purview is a data governance service that helps you manage and govern your on-premises, multi-cloud, and software-as-a-service (SaaS) data. With Purview, Microsoft delivers an Azure service that can help customers understand exactly what data their company has and provide means to manage the data's compliance with privacy regulations and derive valuable insights. During the session we will go step by step through the process of building Unified Data Catalog in Azure Purview, which will enable data consumers to find valuable, trustworthy data. You will see how easily you can create a holistic, up-to-date map of your data landscape with automated data discovery, sensitive data classification, and end-to-end data lineage. The session is rich of demos and examples which can help you build a good understanding and a basic knowledge of Azure Purview so that you can dive deeper later.
Data Lakehouse with Azure Synapse Analytics
Synapse Analytics combines the use of relational datawarehouse and a big data ADL in one single workspace. Data lakehouse on the other hand is the ability to query data directly and in the same way no matter if the data are in data lake or relational datawarehouse. Is it just the workspace that makes the concept of Data lakehouse real in Synapse Analytics? Let discover what we can do with Synapse serverless, how to architect data analytics in the future and do these new trends come to say that the traditional DW is dead?
Data Lakehouse with Azure Synapse Analytics
Data lakehouse is a relatively new concept of querying data directly and in the same way no matter if the data is in data lake or in relational data warehouse. Lets see how we could implement it in Synapse! You will be amazed of how many options we have for data exploration in Synapse, you will see new ways to architect data analytics by combining multiple data sources ad hoc. We will build a common report from data stored in ADL and in Cosmos DB, and we will show it in PBI. All in Synapse! You will see the concept of Data Lakehouse in action! And of course we will discuss when to use what, because this is the key to build a good solution!
Azure SQL Managed Instance - what, how, when (and how much)
Do you want to learn more about SQL MI? Then this session is a good start. I will show you how it looks like, how to migrate your databases to MI and of course I will talk about the price. I believe some common use case scenarios will pop up and you will be able to plan your path to SQL MI.
Modern database design (anti)patterns
The database tier is quite often neglected in the application design process, which results in performance issues, lack of scalability and even disruption of service. Design choices that seem great at the beginning fail totally on scale and performance when the application goes in production. We must realize that patterns which were valid 10 years ago are less likely to work now, like cursor logic, xml usage, or storing all in db v/s using NoSQL. From global industry trends to specific database patterns, this session is a combination of best practices, good and bad patterns, tips, and tricks which I give to customers in my work as a consultant. Good design choices from the beginning help avoiding complex and expensive redesign in the future!
feedback link: https://sqlb.it/?7315
SQLBits 2022 Sessionize Event
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