Title: How to make sure sensitive data is secure in a modern Data Warehouse

The amount of structured, semi structured, and unstructured data is growing at an exponential pace within organizations. With increased amounts of data and usage, inherently data security concerns grow. The cloud platform like Azure, Amazon or google promising organization data is almost impossible to hack. And if the data is leaked it will be encrypted so no one from outside the organization should able to READ the data. However, there are security issues that can arise from rogue employees around PII data and there needs to be a process in place 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. As well as showcase different ways to protect PII data in both production and non-production envionment and explore Microsoft Azure Synapse Analytics capabilities to protect the sensitive data.

About the Speaker:
Diponkar Paul has 13 years of experience in the IT industry and specialized in Business Intelligence, big data, and data warehouse domain. He is Microsoft data platform MVP. Currently working as a Data Engineer at OMERS, Canada. Throughout his career, he designs and developed medium and large-scale data warehouses and delivered business-critical analytical solutions. He is leading Toronto Data Professionals Community (former Toronto PASS user group). He got the diverse background, has been working and studying in different Geo locations including Canada, Denmark, the UK, Sweden. He writes technical blog on SQLServerCentral and, do public speaking.

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How to make sure sensitive data is secure in a modern Data Warehouse  

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How to make sure sensitive data is secure in a modern Data Warehouse

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