Strahinja Rodic
Product Manager at Microsoft
Belgrade, Serbia
Actions
Strahinja is a Product Manager at Microsoft, specializing in enhancing the backup and restore features of Azure SQL Managed Instance. Before joining the Managed Instance team, he worked on Microsoft Fabric, where he contributed to developing Synapse Data Warehouse and serverless SQL pools in Azure Synapse Analytics. Strahinja is passionate about engaging with end-users, gathering feedback, identifying pain points, and crafting solutions to address their needs. In his life before Microsoft, Strahinja worked as a gameplay programmer, developing AAA video games.
Area of Expertise
Microsoft Fabric - Introduction & Overview
On May 23, 3023, Microsoft unveiled its latest breakthrough - Microsoft Fabric, heralding a new era for the data world. But what is Fabric, and why is it critical for those engaged in Microsoft's data platform? This 45-minute session will delve into the heart of Fabric, elucidating its key components and its transformative potential.
In this session, we'll explore the driving forces behind Fabric, its role in the modern data landscape, and why it's an essential tool for any Microsoft data platform professional. We'll demystify the intricacies of Fabric, focusing on the aspects most crucial for you to understand, and equip you with the knowledge to harness its power in your work.
We will cover:
* An overview of Microsoft Fabric
* The importance of Fabric in data management: Its unique capabilities and the problems it can solve (OneLake, Copilot...)
* Getting started with Microsoft Fabric
* Hands-on demo
Whether you're a seasoned data professional or a newcomer, this session will provide a comprehensive introduction to Fabric, positioning you to take full advantage of this revolutionary technology. Join us as we unravel the threads of Microsoft Fabric and step into the future of data management.
Synapse Serverless SQL pool overiview
Serverless SQL pool is T-SQL based scalable, big data query service that comes built-in within Azure Synapse Analytics. It enables users to query data in the lake in seconds up to several minutes depending on the complexity of the query and data size. The service enables big data querying and processing for semi-structured and structured files on Azure Storage and Azure Data Lake Storage Gen2 without the need to manage hardware or software resources.
Due to serverless model – user’s only action is to write and issue the query and the system will automatically scale to provide necessary resources for the query to be executed it. Serverless billing model is pay per query based on the amount of data being processed. If you don’t run any queries you don’t pay!
This Synapse capability is best suitable for ad-hoc data exploration -> convenient and efficient way to quickly explore and understand data in data lake; and analytics over files in data lake -> querying files stored on ADLS gen2 and serving the data to downstream BI stack.
In this session you will have a chance to get a better understanding of what Synapse SQL serverless is, a practical examples about how you can use it and what are the best practices.
Data Platform Next Step 2023 Sessionize Event
Data.Toboggan - Cool Runnings Sessionize Event
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top