Big Query Live Training - A Deep Dive into Data Pipelining

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What is BigQuery and why would you use it as a marketer? Amad is an agency owner who started to report on more and more data for his clients. Find out why processing your data in BigQuery is so awesome and get a deep dive into data pipelining with BigQuery in this live training replay.
This was a private live training just for MeasureMasters members. To watch more monthly trainings sign up here: measureschool.com/products/me...
OUTLINE:
00:00 - Intro
5:02 - The Big Data Problem
7:21 - The Solution
9:15 - Your Data Pipeline Journey
15:54 - What is BigQuery?
24:00 - Extract & Load Data: Getting Data into BigQuery
29:37 - Transform Data: Clean, Join, Prepare and Manipulate
31:03 - Using Your Data: Visualization, Analysis, and Upload
34:25 - Hands-On Demo
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Опубликовано:

16 июл 2024

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Комментарии : 34

@MeasureSchool 4 года назад

00:00 - Intro 5:02 - The Big Data Problem 7:21 - The Solution 9:15 - Your Data Pipeline Journey 15:54 - What is BigQuery? 24:00 - Extract & Load Data: Getting Data into BigQuery 29:37 - Transform Data: Clean, Join, Prepare and Manipulate 31:03 - Using Your Data: Visualization, Analysis, and Upload 34:25 - A Hands-On Demo

@andresu6796 3 года назад

Great and usefull video,thanks a lot and he explains very well.

@MeerVideos 3 года назад

As Digital Marketing is evolving and nobody knows how this is going to be in the next 5 years, It's so great to see how data science and marketing coming together. I'm on a journey to become a Market/Business Analyst from Digital Account Management. It's going to be an interesting switch and these videos are indeed life savior.

@lena5721 4 года назад

Best 1 hour investment in my education lately. That’s so this great video

@MeasureSchool 4 года назад

Great to hear!

@putyah 2 года назад

This video is awesome. I've used the timeline/slides of this video for many presentations and it has been an blueprint for many projects. I always refrence to this channel before presenting. Thank you.

@AkshayKumarJain_official 3 года назад

This is a great video, I came across before having an interview to understand use-cases. Thanks

@useydkerimoglu5720 2 года назад

I think this was the most helpful video I have ever watched on RU-vid. All the love :)

@dudeiknowman 4 года назад

Thank you so much! So much value.

@madhukyatham 4 года назад

Great Video measure school, Thank you, expecting more on bigquery as data guy. Thanks

@saumitrad 2 года назад

The trainer (Amad) is fantastic.

@ASO-xh5vu 2 года назад

Fantastic presentation. Absolutely fantastic

@ignaciopinero2569 2 года назад

Nice one guys : ) thank you a lot and keep it up

@birdsong2552 3 года назад

more like these would be great!

@niteshnirala1664 4 года назад

Thanks for video Ahmad and Julian! Few questions I had - When we have terabytes of data in Bigquery. Do we leave it there or should I export to Google Cloud Storage? What is the good practice to minimize cost in Google Cloud? - I will be interested in having the app script. Do you have script that will update columns in row if it has a matching date? I want to extract data in weekly basis and upload it. I want to avoid duplicates and override values if the fields has changed.

@e-commercecorporation4583 2 года назад

Very informative video Thank you so much

@akshay6822 3 года назад

Great video, I tried the same with a UK data set but for some reason, it’s giving me a syntax error when I merge two data sets “Unexpected String Literal”.

@ryanvaughan1247 4 года назад

Can’t thank you enough.

@maraudeuse952 2 года назад

Hello hello! Thank you for the tutorial. I did everything that was in the video, but I got no data in the datatable. I also did not get error message. Can you please tell me how I can debug the problem or what to do?

11 месяцев назад

Ahmad is a top notch trainer. Which I could learn on the job with him. ;) I did not know that UA also had sampling data. The video has almost three years, so I don't know if at that time was possible. But right now can't we create a simple pipeline GA4 > BigQuery? Or the example of data pipelines were given to connect more data sources than only GA4? Did not full understand it. TY.

@gotit547 3 года назад

If I run query and connected that data to GDS and display there then how does the data view in data studio get refreshed if the data is from source like GA that is live

@jahangeeryousaf6587 3 года назад

hi Julian, coming to this video and the function that was copy pasted. i tried that function but i was stuck at newblob and could not go further and when i generated table automatically and tried to export the data to datastudio i was stuck with following error... Failed to fetch data from the underlying data set Error ID: 0e5ecee6 can you help me with it? i will be very thankful to you

@RGopiKrishna 4 года назад

why should we use it ?

@sandeepmore5290 2 года назад

Good..I like your in dept knowledge about google big query.Can you deliver hands on demo on Google Big Query in online mode..plz reply..

@user-oe5ki5to5v 3 года назад

Much thank you! Could you tell about incremental uploading? How does it work in BigQuery?

@abdulmunaf4941 2 года назад

Did you find any solution? Iam also looking for possible solution on incremental upload

@abhimanyusachdeva3082 3 года назад

The reason it did not work is that you misspelled the "Var TableID = dailly_users_per state", spelling of "dailly" is wrong in the script.

@ElcoTubes 4 года назад

Thank you for the great video. Is it possible to share the script?

@MeasureSchool 4 года назад

please Email ahmad on his website

@Poziom666 3 года назад

@@MeasureSchool If it's possible, also a script please

@sikendongol4208 3 года назад

aayo BigQuery

@neuralbookkeeping9269 Год назад

Bummer, the one reason that I watched this video was to see how to authorize data and then he skipped over the process.

@michaelcarbonnier5877 2 года назад

I am having some debugging issues around the "var spreadsheet" line var projectId = 'GA-userdata'; var datasetId = 'GA_user_region'; var tableId = 'daily_users_per_region'; var spreadsheet = SpreadsheetApp.GetActiveSpreadsheet(); var values = spreadsheet.getsheetsbyname('Bigquery_ref').getDatarange().getValues(); var csv = generateCSV(values);