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#Post#: 57--------------------------------------------------
How politicians can harness the potential
By: sakib5599 Date: September 3, 2023, 12:55 am
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As I wrote earlier, many technical analyzes show that this is
very much possible. But it is also the first time that
cryptocurrencies have experienced a recession whose effects are
not yet clear. I will continue to follow it here on
Frankwatching with great enthusiasm! After rain comes
sunshineFrom UA to GA4: the indispensable BigQuery connection
Become a certified marketing professional in 9 days? Start with
NIMA B Digital marketing! 3k like bookmark Frank Raaijmakers van
Yonego 3k 10 May 2023 at 14:00 Read for 4 minutes New on
Frankwatching How do you bind 'the youth of today' to your
organization.
Sat Navigating to success with Telegram Number Data
https://dbtodata.com/telegram-data/
Porter's five forces model
Fri Warm up your audience with the right preparation of your
content Fri 4 tips for engaging with citizens on social media
Thu The day when Universal Analytics will stop (July 1, 2023),
will be marked in the agenda of many online marketers. If all
goes well, you have already switched to GA4, because this
replacement has been on the market since 2020. Opinions are
still divided on the quality of Google's new Analytics tool, but
in this article I want to highlight one featurewhich is
certainly a great advancement over.
[img]
https://github.com/mdsakib0012/image/blob/main/Telegram%20Number%20Data.png?raw…
https://dbtodata.com/telegram-data/
Universal Analytics. It's about the ability to link BigQuery to
your GA4 property. This was already possible with Universal, but
only if you had the paid version available (Google Analytics
360). You do not need a paid license to connect GA4 to BigQuery.
So this is one of the big plus points of GA4. What is BigQuery?
BigQuery is Google's data warehouse that runs on the Google
Cloud Platform. Here you can manage datasets from multiple
sources in a very scalable way. This means that you can create
small tables or very large tables with millions of rows. You pay
based on the use of your datasets.
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