Hasan Savran

"It depends" is the standard answer for database selection, but only if you understand what it depends on. For developers deciding between SQL Server and Azure Cosmos DB, understanding the differences in their internal engines is critical to performance.

Many AI projects start with high hopes and ambitious goals. However, when the focus shifts to AI’s potential rather than addressing real, urgent business challenges, these initiatives often fail.

"It depends" is the standard answer for database selection, but only if you understand what it depends on. For developers deciding between SQL Server and Azure Cosmos DB, understanding the differences in their internal engines is critical to performance.

Many proof-of-concept AI applications fail to reach production because industries do not find value in copilot-like applications. Companies seek clarity and focus, not an overwhelming barrage of chat applications bombarding decision-makers with countless suggestions or summarizations. This session will help you connect the dots in the AI puzzle using Microsoft technologies, including the new open-source database, DocumentDB. We will examine vector stores, the RAG pattern, and multi-agent frameworks and learn how to implement these technologies in applications. By the end of this session, you will have all the practical information necessary to integrate AI features into your projects.

Many proof-of-concept AI applications fail to reach production because industries do not find value in copilot-like applications. Companies seek clarity and focus, not an overwhelming barrage of chat applications bombarding decision-makers with countless suggestions or summarizations.

In today’s data-driven world, developers must accurately utilize SQL and database functionalities to provide effective and cost-efficient solutions. This presentation covers key database skills for developers at all levels, focusing on design, querying, and optimization.

Azure Cosmos DB is a fully managed database service, freeing developers from database management tasks. However, as a developer, you still have important responsibilities, such as changing indexing policies, configuring connections, estimating workloads, and selecting the right throughput options.

Using enterprise data is the best way to demonstrate the success of a new service such as Azure OpenAI to your managers and business leaders. This session will help you better understand how to work with this new technology using enterprise data.

There are many ways to represent data. Most of us are stuck with relational database data models, and we don't feel comfortable when data is represented differently.

We get more and more features with every new version of SQL Server. Microsoft developed these new features to keep SQL Server modern, competitive, and developer-friendly.

Every new version of SQL Server adds new features, some of these features are rarely talked about. Join me in this practical session to learn about some of the uncommon but useful features and data types of SQL Server.

Every new version of SQL Server adds new features, some of these features are rarely talked about. Join me in this practical session to learn about some of the uncommon but useful features and data types of SQL Server.

If you would like to learn about Spatial Data but don’t know where to start, this session is for you. We will begin by focusing on what Spatial Data is through examples and interactive demo’s.

If you would like to learn about Spatial Data but don’t know where to start, this session is for you. We will begin by focusing on what Spatial Data is through examples and interactive demo’s.

You just upgraded your database to SQL Server 2017 recently or you are planning to upgrade your database to SQL Server 2017 soon and you want to learn more about its features and services.