The next crucial step in my career

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The next crucial step in my career

It’s Wednesday, 31st of July 2019. I will remember this day for a few reasons. Not only that but the last 18 months I spent working with amazing people, in

Last Week Reading 0 Comments

Last Week Reading (2019-07-28)

I believe that most of you have got a holiday already (enjoy!) or are planning some now. This is the last post of “Last Week Reading” series before my holiday.

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ASF 024: Leila Etaati interview

Introduction Leila Etaati is an AI MVP, mentor, trainer, speaker and consultant. She spoke in some important conference such as Microsoft USA Ignite, Microsoft Data Insight Summit, SQL PASS, SQL

Last Week Reading 0 Comments

Last Week Reading (2019-07-21)

Another week passed. Look what did I find during that time. Press British Airways faces record £183m fine for data breach The penalty imposed on BA is the first one

ASF 024 video invitation

I’m happy to announce that the next episode of “Ask SQL Family” podcast is coming. This time our guest is an amazing woman, not only in AI and Power BI

Last Week Reading (2019-07-07)

Hello, data eaters! Today, coming back from my friend by car, I was browsing a few posts on my cell (calmly – my wife was driving). At some point, I

Big Data 0 Comments

Azure Databricks – create new workspace and cluster

In this post, I will quickly show you how to create a new Databricks in Azure portal, create our first cluster and how to start work with it. This post

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Last Week Reading (2019-06-30)

Another week and another round-up over data area. Take a look at what I have found for you last week. Press Azure DevOps – Build SSIS project (CI) Let’s build

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ASF 023: Amit Bansal interview

Introduction Amit R S Bansal is a SQL Server Specialist at SQLMaestros (brand of eDominer Systems). He leads the SQL and BI practice with a much-focused team providing consulting, training

DevOps 7 Comments

Deployment of Azure Data Factory with Azure DevOps

In this blog post, I will answer the question I’ve been asked many times during my speeches about Azure Data Factory Mapping Data Flow, although the method described here can