Learn how to Safeguard Sensitive Data in a Modern Data Warehouse using Microsoft Fabric or Azure Synapse Analytics with Diponkar Paul. Register now for this insightful presentation, where you will learn about important topics – data security and governance.
Register now for the Securing Data by using Microsoft Fabric by Diponkar Paul, an Online event by the Microsoft Data and AI South Florida User Group (DataAISF).
Join the Microsoft Data and AI South Florida (DataAISF) user group for another amazing FREE presentation.
– TOPICS COVERED:
- Learn about data protection features in Microsoft Fabric
- Ways to secure your data in Azure Synapse Analytics
- How to Protect PII data in production and non-production environments
- Common sense Database Security
- and more
– ABSTRACT:
In recent years, the number of data breaches is grown exponentially. Data security is, therefore a significant concern for every organization. Cloud platforms like Azure, Amazon, or Google promise that data stored in their platforms is almost impossible to hack. And should it be leaked, it would be encrypted so no one outside could use the data.
However, security issues can arise from the inside, like rogue employees mishandling sensitive data like Personally identifiable information (PII). There needs to be a process to deal with this. In this session, we will highlight how a modern data warehouse can act as a safeguard against malicious data exposure or misusage.
This highly demo-driven session will show you different ways to protect PII data in both production and non-production environments by using the latest capabilities of Microsoft Azure Synapse Analytics and Microsoft Fabric.
– BIOGRAPHY:
Diponkar Paul has 13+ years of experience in the IT industry and specializes in Business Intelligence, big data, and data warehouse domains. He is Microsoft Data Platform MVP. Currently working as a Lead Data Engineer at OMERS, Canada. Throughout his career, he designed and developed medium and large-scale data warehouses and delivered business-critical analytical solutions.
He leads Toronto Data Professionals Community (former Toronto PASS user group). He got a diverse background and has been working and studying in different Geo locations including Canada, Denmark, the UK, and Sweden. He writes a technical blog, writes articles on SQLServerCentral, and, does public speaking..
Share the RSVP this event with friends:
Connect with our supporters who make it all possible
- Contact: Diponkar Paul
LinkedIn: https://www.linkedin.com/in/diponkarpaul/
Twitter: @paulswengrr https://www.twitter.com/paulswengrr
Website:
Blog: https://www.allaboutdata.ca/
YouTube: N/A
***
Share the RSVP this event with friends:
Connect with our supporters who make it all possible
** Join DataAISF – Microsoft Data and AI South Florida User Group **
- YouTube – https://bit.ly/2RsbCgY – Subscribe Now
- Twitter – https://bit.ly/3crVYKe – Follow Us
- MeetUp – https://bit.ly/2QRjN8Q – Register Now
***
- EVENT DETAILS:
Title:Safeguarding Sensitive Data in a Modern Data Warehouse with Azure Synapse Analytics or Microsoft Fabric
By : Diponkar Paul
Date : Tue. September 26th, 2023
Time : 6:00 pm US Eastern Time
RSVP: https://bit.ly/3Rcvrbu
Watch Now on YouTube:
In-Person Location: N/A – On-Line Only
Address: N/A
Room: N/A
Online: Yes – URL https://www.youtube.com/watch?v=_kT8SYXECR4
Subscribe to the YouTube channel & Click on the Bell
https://bit.ly/2RsbCgY
– RSVP and Bring a Friend:
- ** Join DataAISF – Microsoft Data and AI South Florida User Group **
- YouTube – https://bit.ly/2RsbCgY – Subscribe Now
- Twitter – @DataAISF https://bit.ly/3crVYKe – Follow Us
- MeetUp – https://bit.ly/2QRjN8Q – Register
ATTENTION:
By attending an event – online or in-person, you fully agree to abide by the code of conduct, policies and be responsible for your conduct and actions. Furthermore, you agree to hold harmless of any wrongdoing by the Microsoft Data and AI South Florida user group’s speakers, organizers, partners, sponsors, collaborators, members, guests, and any directly or indirectly related organization or individual.
. .
. .
