🎈🎉🎊 We're thrilled to be included in @GCPcloud's suggested tools to use with #BigQuery!
🔍 Find superQuery in the Chrome Store: https://t.co/GqsN46yqYQ
🔎 And in the GCP Marketplace: https://t.co/pnh4idyeco
@googlecloud
https://t.co/SzpyQkrBfd
We look forward to presenting at @doitint's Community Product Exchange with a great group of companies.
Register here to attend: https://t.co/q8Y3zhFnSm
@mcowger@sethrosen Thanks for the shoutout @mcowger! Indeed, we do offer a way to categorize your queries into different folders / workspaces called Boards.
Anyone can read more about Boards here:
https://t.co/4j1Sv4xHia
TIL: You think of genomes as "big data", but the SARS-CoV-2 complete genome is less than 30k base pairs (human genome has 3 bil). All known strains together would fit in a 10kb file. Such a lot of damage from something so simple. https://t.co/M3wZULF4x6
Today we are thrilled to announce that we have been acquired by @doitint! 🎉🎉
We're excited to join forces with such an impressive team and deliver even more value to our users!
https://t.co/89ALqhq0F1
How many Saved Queries do you have in #BigQuery? As your list grows, it can turn into an uncategorized mess.
Queries, like documents, should be organized into folders 📂
Now, you can group related queries into folders using @superQuery.
See how here:
https://t.co/4j1Sv4xHia
Inspired by @beeonaposy's post on building a query library, we wrote a post on how to *automatically* version control your #BigQuery work into your GitHub repo using superQuery.
Turn your repo into a query library that syncs with every query edit.
https://t.co/xECFdsa9Y4
Want to set #BigQuery quotas via API to limit cost? Sadly, it's not officially documented by @GCPcloud.
Checkout my latest article and my hack for doing this.
https://t.co/4imKPNnpU0
What should #BigQuery users do when working on many queries at once?
How do you stay organized?
Here is a simple trick to managing multiple queries:
https://t.co/gKOq9p0Tho
Before heading to Day 1 of #GoogleNext19, we stopped by The @FinancialTimes for an incredibly insightful discussion on #BigQuery and BI optimization (and grabbed a souvenir on the way out)
Thank you Jono Hutchison and Tom Woolrich for the great chat!
How much would it cost to train, evaluate, or predict your model in #BigQueryML? Now you'll have the answer in seconds.
Introducing cost prediction for #BigQuery ML — simply enter your SQL in @superquery, and see the cost instantly!