Much awaited part of the series, can't wait for episodes in this!! If possible, can you tell what goes in the making of this videos? How do you prepare, what accessories you use, which software you use to record and draw the red things on the screen, would be helpful for some of us trying to start our own journey of teaching others :)
Sure, so the process of creating a new episode is more or less as follows: 1. Think about the topics I want to cover. 2. Learn about those topics (documentation, blogs, hands-on demos) to feel confident enough to talk about them. 3. Do a dry run to check how long it takes and if everything works as it should. 4. Record the episode. 5. Edit it. 6. Upload to YT, add description, thumbnail, tags etc. 7. Release. On average it is about 6h of work per episode. During the process I use the following tools: 1. Surface + Whiteboard app - for drawing diagrams. 2. Camtasia - for recording the episode. 3. ZoomIt - for drawing those red things on the screen. 4. Logitech c920 webcam. 5. Logitech Litra Glow - light. 6. SubZero SZC-500-USB microphone.
@@TybulOnAzure Thank You so muchh for this!! Will help me a lot in preparing my content. Apologize for the delayed response as wasn't well for the past couple of days, now to catch up with your content.
Hi, great series :) I am still in the beginning - I'm on video number 4. I am a BI Analyst and I work mostly with Power BI and a little bit of Power Automate. I have the PL-300 Power BI Data Analyst. I have some SQL knowledge especially about querying data and some knowledge about OLAP data modeling (star schema) but very little Python - only a little bit of the Pandas library. How important is Python and programming in order to become a data engineer?
For sure you'll need knowledge of some language used to transform data. But the thing is that it doesn't have to be Python as many tools give you a choice to choose the language you like, e.g. in Databricks you can choose from SQL, Python, Scala and R. Similarly with Microsoft Fabric. Personally, I suck at Python but I know SQL very well and so far I was able to handle most of my tasks using SQL. If I needed more advanced Python skills, then I just asked a colleague for help.
![Hannes Mühleisen - Data Wrangling [for Python or R] Like a Boss With DuckDB](http://i.ytimg.com/vi/GELhdezYmP0/mqdefault.jpg)
I love these videos, thank you. What I particularly enjoy is that you take the time to bring context and history. It’s so nice.
Glad you enjoy it!
Hi. Can you please tell how many more videos would be there in this DP-203 series. Excellent content btw.
Thanks! I plan to record about 20 more episodes.
Thanks Tybul for this introduction to Azure Databricks, waiting for the future episodes on this series!!
Another great tutorial, only regret not watching earlier
Glad you liked it!
dziękuję Panie Piotrze
Proszę, Panie Piotrze
Prem's 😊
Been waiting for the databricks part of the series🙏🙏🙏
Thank you very much
Waiting for further episodes
Great introduction video.
Much awaited part of the series, can't wait for episodes in this!! If possible, can you tell what goes in the making of this videos? How do you prepare, what accessories you use, which software you use to record and draw the red things on the screen, would be helpful for some of us trying to start our own journey of teaching others :)
Sure, so the process of creating a new episode is more or less as follows:
1. Think about the topics I want to cover.
2. Learn about those topics (documentation, blogs, hands-on demos) to feel confident enough to talk about them.
3. Do a dry run to check how long it takes and if everything works as it should.
4. Record the episode.
5. Edit it.
6. Upload to YT, add description, thumbnail, tags etc.
7. Release.
On average it is about 6h of work per episode.
During the process I use the following tools:
1. Surface + Whiteboard app - for drawing diagrams.
2. Camtasia - for recording the episode.
3. ZoomIt - for drawing those red things on the screen.
4. Logitech c920 webcam.
5. Logitech Litra Glow - light.
6. SubZero SZC-500-USB microphone.
@@TybulOnAzure Thank You so muchh for this!! Will help me a lot in preparing my content. Apologize for the delayed response as wasn't well for the past couple of days, now to catch up with your content.
Good one, make a video on how to configure the cluster.
Hi, great series :)
I am still in the beginning - I'm on video number 4.
I am a BI Analyst and I work mostly with Power BI and a little bit of Power Automate.
I have the PL-300 Power BI Data Analyst.
I have some SQL knowledge especially about querying data and some knowledge about OLAP data modeling (star schema) but very little Python - only a little bit of the Pandas library.
How important is Python and programming in order to become a data engineer?
For sure you'll need knowledge of some language used to transform data. But the thing is that it doesn't have to be Python as many tools give you a choice to choose the language you like, e.g. in Databricks you can choose from SQL, Python, Scala and R. Similarly with Microsoft Fabric.
Personally, I suck at Python but I know SQL very well and so far I was able to handle most of my tasks using SQL. If I needed more advanced Python skills, then I just asked a colleague for help.
15:40 Pyotr is so good that the gosts had to open the door and attend the lesson .
Yup:) But I have a feeling that this ghost had four legs and a tail.