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How to choose right database for a product

18 5月, 2022 | 12:30 午後 - 1:30 午後 (UTC) 協定世界時

形式:
ライブストリーム

トピック: コーディング、言語、フレームワーク (GitHub と AI コーディングを含む)

言語: 英語

In Azure there are different options to store & process your data. In this session, I will share my experiences over choosing a specific database tool after covering difference between database, data warehouse and data lake. And of course, data bakehouse too.

This session will focus on - When to use Azure SQL database and/or Azure Synapse Analytics and/or Azure Databricks? What are common features but different in Synapse and Databricks (Notebooks, Apache Spark, Delta Lake, Storage and Compute separated architecture, Autoscaling).

What will you learn from this session - Technology democratization has led to features, open-source frameworks getting included in almost all products in a line. That makes it difficult choosing one. From this session, I hope it would help the attendees to choose the right database for their product.

Further Learning: https://aka.ms/IntroductiontoAzSQL18may

Speaker Bio- Dinesh Kumar Prabakaran | Product Manager @ Kissflow | Microsoft MVP- Data Platform|

Coming through 9+ years of journey around data & cloud, deeply involved in implementing B2B SaaS products for Big Data and Business Intelligence. Currently working as product manager, for the reports & analytics squad at Kissflow. Always believe that holistic growth happens through deep knowledge sharing. Being passionate about Microsoft Azure, Data & Low Code, the enthusiasm extends beyond the confines of work to actively get involved in tech communities. Have played as technical product manager and growth hacker in the previous company Syncfusion Software.

Social Handle- https://www.linkedin.com/in/dinesh-kumar-prabakaran/