diponkar.paul

Diponkar Paul has 12 years of experiences in IT industry and specialized in Business Intelligence domain, currently working as a Senior Data Engineer at Fiera Capital, Canada. Through his career, he designs and developed medium and large data warehouses and delivered business critical analytical solution. He was leading Toronto PASS Group; which is part of the world largest data professional community named PASS and Lead of Toronto Data Professionals Community.He got diverse background, has been working and studied in different Geo location includes Canada, Denmark, UK, Sweden and Bangladesh. He writes technical blog and speaking, he loves to share his learning within the community.
  • Interests: Data, Travel, Swimming, Cycling, cross-country skate
  • Blog: http://allaboutdata.ca/
  • Jobs: Senior Data Engineer
  • Skills: Big data, Business Intelligence, Database, ETL, ELT, Data Warehouse

SQLServerCentral Article

How do you secure sensitive data in a modern Data Warehouse?

In 2019 Canadian Broadcasting Corporation (CBC) news reported a massive data breach at the Desjardins Group, which is a Canadian financial service cooperative and the largest federation of credit unions in North America. The report indicated, a "malicious" employee copied sensitive personal information collected by Desjardins from their data warehouse. The data breach compromised the […]

4 (2)

2022-03-30

2,559 reads

SQLServerCentral Article

How to Recover a Corrupted Azure Data Factory Integration Runtime

I would like to share my recent experience with Azure Data Factory (ADF) where AutoResolveIntegrationRuntime become corrupted and how did I recover it. I still don't know how the Integration Runtime (IR) was corrupted. However, if it happens, then this article will help you to solve the issue. Problem In general, the ADF AutoResolveIntegrationRuntime should […]

5 (1)

2021-11-05

1,691 reads

SQLServerCentral Article

How to Flatten JSON in Azure Data Factory?

When you work with ETL and the source file is JSON, many documents may get nested attributes in the JSON file. Your requirements will often dictate that you flatten those nested attributes. There are many ways you can flatten the JSON hierarchy, however; I am going to share my experiences with Azure Data Factory (ADF) […]

4.5 (2)

2021-09-17

12,354 reads

SQLServerCentral Article

Handling Row-level Errors in ADF Data Flows

If you are working with ADF (Azure Data Factory) data flows, then you may have noticed there was a new feature released in November 2020, which is useful to capture any error while inserting/updating the records in a SQL database. This article will describe how to setup the error row handling feature and why it's […]

5 (1)

2021-06-16 (first published: )

3,450 reads

SQLServerCentral Article

Step by Step Guide to Install Jupyter Notebook

Whether you work as a Data Engineer or a Data Scientist, a Jupyter Notebook is a helpful tool. One of the projects I was working required a comparison of two parquet files. This is mainly a schema comparison, not a data comparison. Though the two .parquet were created from two different sources, the outcome should […]

2021-05-17

4,082 reads

SQLServerCentral Article

Dynamically Add a Timestamp To Files in Azure Data Factory

This article will describe how to add your local timestamp at the end of the each file in Azure Data Factory (ADF). In general, ADF gets a UTC timestamp, so we need to convert the timestamp from UTC to EST, since our local time zone is EST. For example, if the input Source file name […]

5 (2)

2021-04-22

19,155 reads

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