diponkar.paul

Diponkar Paul has 14 years of experience in the IT industry and specialized in the Business Intelligence domain, currently working as a Manager of Data Engineering at OMERS, Canada. Throughout his career, he designs and developed medium and large data warehouses and delivered business-critical analytical solutions. He was leading the Toronto PASS Group; which is part of the world's largest data professional community named PASS and Lead of Toronto Data Professionals Community. 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 and speaks, 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 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 (2)

You rated this post out of 5. Change rating

2024-09-02 (first published: )

3,744 reads

SQLServerCentral Article

What is OneLake in Microsoft Fabric?

Get ready to be blown away! The highly anticipated Microsoft Build in May 2023 has finally unveiled its latest and greatest creation: the incredible Microsoft Fabric - an unparalleled Data Intelligence platform that is guaranteed to revolutionize the tech world! fig 1: OneLake for all Data One of the most exciting things in Fabric I […]

4.5 (4)

You rated this post out of 5. Change rating

2023-07-26

4,894 reads

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)

You rated this post out of 5. Change rating

2022-03-30

3,035 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)

You rated this post out of 5. Change rating

2021-09-17

19,641 reads

Blogs

AI Step 1

By

As this is an Artificial Intelligence (AI) World, things are changing. We can see that...

Beginner’s Guide: Building a Dockerized Todo App with React, Chakra UI, and Rust for Backend

By

In a containerized app, React and Chakra UI provide a robust and accessible user...

A New Word: Nachlophobia

By

nachlophobia – n. the fear that your deepest connections with people are ultimately pretty...

Read the latest Blogs

Forums

Call dynamic sql storedprocedure from SSIS execute sql task

By komal145

hi, I have a table called Rules Create table Rules ( Id int ,...

Migrating database with many orphan users.

By JasonO

I am currently upgrading a very old database running SQL Server 2008 to SQL...

Active and Active Cluster

By shiv-356842

Hi Team, I am planning to apply security updates for SQL Server 2016 on...

Visit the forum

Question of the Day

The Funny SELECTs

What is returned from this query?

SELECT
  ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
    WHERE soh.OrderDate >= '01/01/2011' AND soh.OrderDate < '01/01/2012') AS OrdersIn2011
, ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
    WHERE soh.OrderDate >= '01/01/2012' AND soh.OrderDate < '01/01/2013') AS OrdersIn2012
, ( SELECT COUNT (*) FROM Sales.SalesOrderHeader AS soh
    WHERE soh.OrderDate >= '01/01/2013' AND soh.OrderDate < '01/01/2014') AS OrdersIn2013;

See possible answers