Unified data governance with Azure Purview

 
English Intermediate Data & AI

Azure Purview is a unified data governance service that helps you manage and govern your on-premises, multi-cloud, and software-as-a-service (SaaS) data. 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 with Azure Purview. One of the critical features of Azure Purview is the ability to show the lineage between datasets created by data processes. Data lineage can help to show how data moves over time. This enables you to see how data is used and what changes to data have been made which helps you to understand, trace back, and correct data at the source of origin. In this session, we will learn how to implement Data Lineage in Azure Purview. Who is the target attendee? Data Architect/ETL Developers/Consultants Why would that person want to attend your session? - To start your journey with Azure Purview to develop data Lineage What can the attendee walk away with? - What is Azure Purview? - Data Lineage capability of Azure Purview - How to implement Data Lineage in Azure Purview?

Speaker

Rajaniesh Kaushikk

Enterprise Cloud Solution Architect

Rajaniesh Kaushikk is a TOGAF Certified Enterprise Architect with 20 years of extensive experience in successfully delivering complex software application Architecture and solutions for Fortune 500 companies. He is an expert in Digital Transformation, Architecting, and developing modern applications in Azure, IoT, Edge, Microservices, and BOTS. Rajaniesh is a mentor, a speaker, and the man behind http://rajanieshkaushikk.com. Rajaniesh is Microsoft certified trainer and Microsoft Certified Architect Expert. Rajaniesh loves writing technical blogs and community contributions via various forums and won several recognitions. Rajaniesh can be reached via his blog and youtube channel: https://rajanieshkaushikk.com ​https://www.youtube.com/channel/UCyRuVBsflAelmCSzsiHr99Q

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Code of Conduct for local live streams

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A good template can be found at https://confcodeofconduct.com/, including internationalized versions at https://github.com/confcodeofconduct/confcodeofconduct.com. An excellent version of a Code of Conduct, not a template, is built by the DDD Europe conference at https://dddeurope.com/2020/coc/.