Data Exploration and Preparation with #BigQuery — Practical guide to cleaning, transforming, and analyzing data for business insights: amzn.to/4b0Ucz7 v/ @PacktDataML — 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: 🔵Leverage BigQuery to understand and prepare your data to ensure that it's…

KirkDBorne's tweet image. Data Exploration and Preparation with #BigQuery — Practical guide to cleaning, transforming, and analyzing data for business insights: amzn.to/4b0Ucz7 v/ @PacktDataML
—
𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:

🔵Leverage BigQuery to understand and prepare your data to ensure that it's…

🚀 #Snowflake vs #BigQuery vs #Redshift — which cloud data warehouse gives the best ROI? We break down the 3 giants across scalability, performance & cost. Make the right data-driven choice for your business. 🔗 bit.ly/47sZTG5 #DataAnalytics #Cloud

AegisSoftTech's tweet image. 🚀 #Snowflake vs #BigQuery vs #Redshift — which cloud data warehouse gives the best ROI?

We break down the 3 giants across scalability, performance & cost.

Make the right data-driven choice for your business.
🔗 bit.ly/47sZTG5

#DataAnalytics #Cloud

Tired of manually building data pipelines? Learn how to build a Medallion Architecture in #BigQuery using just natural language. The new Data Engineering Agent turns simple prompts into bronze, silver, and gold layers with complex data quality rules → goo.gle/4abwe62

GoogleCloudTech's tweet image. Tired of manually building data pipelines?

Learn how to build a Medallion Architecture in #BigQuery using just natural language. The new Data Engineering Agent turns simple prompts into bronze, silver, and gold layers with complex data quality rules → goo.gle/4abwe62

Grateful to Dr. Phu Tran for an insightful session on Database Fundamentals and BigQuery at BEACON Riaz Lab.Attended by clinician scientists and the data science team working under the mentorship of Dr.@IrbazRiaz #BigQuery #OncologyAI #BEACONLab #MedicalAI #DataScienceInMedicine

drhussnainsadiq's tweet image. Grateful to Dr. Phu Tran for an insightful session on Database Fundamentals and BigQuery at BEACON Riaz Lab.Attended by clinician scientists and the data science team working under the mentorship of Dr.@IrbazRiaz 
#BigQuery #OncologyAI #BEACONLab #MedicalAI #DataScienceInMedicine
drhussnainsadiq's tweet image. Grateful to Dr. Phu Tran for an insightful session on Database Fundamentals and BigQuery at BEACON Riaz Lab.Attended by clinician scientists and the data science team working under the mentorship of Dr.@IrbazRiaz 
#BigQuery #OncologyAI #BEACONLab #MedicalAI #DataScienceInMedicine

Turn GCP billing into a conversation! 🗣️New 15-min tutorial: Build an AI Cost Agent with ADK & MCP Toolbox for Databases to query BigQuery costs. Ask What’s my spend? and skip the SQL. 🔗 shorturl.at/xVsKM 📁 github.com/aryanirani123/… #GCP #BigQuery @googleaidevs #MCP

aryanirani123's tweet image. Turn GCP billing into a conversation! 🗣️New 15-min tutorial: Build an AI Cost Agent with ADK & MCP Toolbox for Databases to query BigQuery costs. Ask What’s my spend? and skip the SQL.
🔗 shorturl.at/xVsKM
📁 github.com/aryanirani123/…
#GCP #BigQuery @googleaidevs #MCP
aryanirani123's tweet image. Turn GCP billing into a conversation! 🗣️New 15-min tutorial: Build an AI Cost Agent with ADK & MCP Toolbox for Databases to query BigQuery costs. Ask What’s my spend? and skip the SQL.
🔗 shorturl.at/xVsKM
📁 github.com/aryanirani123/…
#GCP #BigQuery @googleaidevs #MCP
aryanirani123's tweet image. Turn GCP billing into a conversation! 🗣️New 15-min tutorial: Build an AI Cost Agent with ADK & MCP Toolbox for Databases to query BigQuery costs. Ask What’s my spend? and skip the SQL.
🔗 shorturl.at/xVsKM
📁 github.com/aryanirani123/…
#GCP #BigQuery @googleaidevs #MCP

BigQueryの実行グラフにクエリテキストヒートマップが登場(Preview)。スロットを多く消費している部分が SQL 上でハイライトされるため、ボトルネックの特定・チューニングに役立つ #BigQuery #GoogleCloud docs.cloud.google.com/bigquery/docs/…

y_sugi_it's tweet image. BigQueryの実行グラフにクエリテキストヒートマップが登場(Preview)。スロットを多く消費している部分が SQL 上でハイライトされるため、ボトルネックの特定・チューニングに役立つ #BigQuery #GoogleCloud

docs.cloud.google.com/bigquery/docs/…

🎉 Speaking today at @devfestparis at Epitech! My talk on the ELT pattern in action is at 15h40 — covering Staging/Mart layers + demos with @ApacheAirflow + #BigQuery, #dbt, and #SQLMesh Hope to see you there! 🙌📊✨ @GoogleDevExpert @GroupBees1

MazlumTosun3's tweet image. 🎉 Speaking today at @devfestparis at Epitech!

My talk on the ELT pattern in action is at 15h40 — covering Staging/Mart layers + demos with @ApacheAirflow + #BigQuery, #dbt, and #SQLMesh 

Hope to see you there! 🙌📊✨

@GoogleDevExpert @GroupBees1

カラムA最大値を持つレコードの別のカラムBの値を取得したいときにWindow 関数を使っていたけど、MAX_BY(カラムA、カラムB)ですんなり解決できることを知った。 #BigQuery docs.cloud.google.com/bigquery/docs/…

Ricardinho's tweet image. カラムA最大値を持つレコードの別のカラムBの値を取得したいときにWindow 関数を使っていたけど、MAX_BY(カラムA、カラムB)ですんなり解決できることを知った。
#BigQuery 
docs.cloud.google.com/bigquery/docs/…

Dataplex でカラムレベルのリネージが利用可能になった。従来はテーブルレベルだったが、このアップデートにより列のレベルで、値がどこから来たか(単なる複製か、その他の依存関係か)がグラフィカルに表示できるようになった #GoogleCloud #BigQuery cloud.google.com/dataplex/docs/…

y_sugi_it's tweet image. Dataplex でカラムレベルのリネージが利用可能になった。従来はテーブルレベルだったが、このアップデートにより列のレベルで、値がどこから来たか(単なる複製か、その他の依存関係か)がグラフィカルに表示できるようになった #GoogleCloud #BigQuery

cloud.google.com/dataplex/docs/…

#duckdb support for nested type is awesome, #BigQuery #GA4 github.com/djouallah/Fabr…

mim_djo's tweet image. #duckdb support for nested type is awesome, #BigQuery #GA4
github.com/djouallah/Fabr…

#BigQuery で大規模EC分析基盤を構築 】 240万ショップのデータ分析を支える基盤リアル📊 数十分→数秒のクエリ高速化を実現 ✅ サーバーレスでスモールスタート ✅ Airflowで抽出・加工を一元管理 ✅ 誰もがストレスなく分析できる環境へ ▼詳しい導入事例をチェック findy-tools.io/products/bigqu…

findy_tools's tweet image. 【 #BigQuery で大規模EC分析基盤を構築 】
240万ショップのデータ分析を支える基盤リアル📊
数十分→数秒のクエリ高速化を実現

✅ サーバーレスでスモールスタート
✅ Airflowで抽出・加工を一元管理
✅ 誰もがストレスなく分析できる環境へ

▼詳しい導入事例をチェック
findy-tools.io/products/bigqu…

TIL that #BigQuery Iceberg produces very tiny row groups. It is not bad in itself, but you should avoid using it as DirectLake with #PowerBI.

mim_djo's tweet image. TIL that #BigQuery Iceberg produces very tiny row groups. It is not bad in itself, but you should avoid using it as DirectLake with #PowerBI.

BigQuery連携でできる分析は「GA4の限界を超える」第一歩。 複数サイトのデータを統合することで、単体では見えない全体像が浮かび上がります。 データの粒を揃えることが精度の鍵です。 #BIツール #BigQuery #データ統合


BigQueryを自然言語でクエリ・操作できる Gemini CLI extensions for BigQuery が公開。従来より公開されていた MCP Toolbox がベース。`gemini extensions install` のようにしてインストールできる #GoogleCloud #Gemini #BigQuery cloud.google.com/bigquery/docs/…


Integrate GA and #BigQuery, and you can… ☁️ Run superfast queries of large data sets ☁️ Combine GA with other data, like CRM and sales ☁️ Train predictive models ☁️ Use unsampled, raw data for precise analysis Unlock new data frontiers ➡️ goo.gle/43aXTR7


やっぱ一歩先に行ってるよなぁ。 ユーザーがこういうの欲しいっていうのを実装してきてやがる。 こういうスピードでの動きは久しぶりでBigQueryに初めて出会ったときぐらいときめいてるし、いぢいぢしちゃってるよ。 #BigQuery #bq_sushi cloud.google.com/blog/products/…


Google スプレッドシートで開いた大きな CSV ファイルを BigQuery にインポートできるように。従来はスプシで大きすぎる CSV は開けなかったが当機能により一度 BQ を挟んで Connected Sheets で読み込むことで迅速に分析開始できる #GoogleWorkspace #BigQuery #GoogleCloud workspaceupdates.googleblog.com/2025/11/analyz…


Legacy warehouses are running at 95–100% capacity, and with computing and storage tied together, there’s little room to adapt when business needs change. Modernization can’t be an afterthought. Click here to download the eBook: bit.ly/494Dose #agenticAI #bigquery


カラムA最大値を持つレコードの別のカラムBの値を取得したいときにWindow 関数を使っていたけど、MAX_BY(カラムA、カラムB)ですんなり解決できることを知った。 #BigQuery docs.cloud.google.com/bigquery/docs/…

Ricardinho's tweet image. カラムA最大値を持つレコードの別のカラムBの値を取得したいときにWindow 関数を使っていたけど、MAX_BY(カラムA、カラムB)ですんなり解決できることを知った。
#BigQuery 
docs.cloud.google.com/bigquery/docs/…

BigQuery連携でできる分析は「GA4の限界を超える」第一歩。 複数サイトのデータを統合することで、単体では見えない全体像が浮かび上がります。 データの粒を揃えることが精度の鍵です。 #BIツール #BigQuery #データ統合


Tired of manually building data pipelines? Learn how to build a Medallion Architecture in #BigQuery using just natural language. The new Data Engineering Agent turns simple prompts into bronze, silver, and gold layers with complex data quality rules → goo.gle/4abwe62

GoogleCloudTech's tweet image. Tired of manually building data pipelines?

Learn how to build a Medallion Architecture in #BigQuery using just natural language. The new Data Engineering Agent turns simple prompts into bronze, silver, and gold layers with complex data quality rules → goo.gle/4abwe62

Lost in 30+ #Meta creatives? 🎨 Ads Manager won’t show true winners. Fix: dynamic UTMs, structured names, CAPI + BigQuery = ROAS per banner 👉 alexignatenko.com/post/how-to-tr… #ga4 #bigquery #metrics #analytics #attribution #gtm

auignatenko's tweet image. Lost in 30+ #Meta creatives? 🎨 

Ads Manager won’t show true winners. 

Fix: dynamic UTMs, structured names, CAPI + BigQuery = ROAS per banner 👉 alexignatenko.com/post/how-to-tr…

#ga4 #bigquery #metrics #analytics #attribution #gtm

【手順解説】 BigQuery Data Transfer Service のイベントドリブン機能の設定手順を紹介します。 ※情報は執筆当時のものです。 blog.g-gen.co.jp/entry/event-dr… #GoogleCloud #BigQuery #技術ブログ


#BigQuery による自社データ処理事例🧱】 ✅プロダクト基盤を3フェーズに分離し工数削減✂️ ✅ビジネスデータも蓄積可能に💻 ✅Lookerと連携し信頼できる唯一の情報源に✨ 株式会社ヤプリのアプリ運用の裏側はこちら👇 findy-tools.io/products/bigqu…

findy_tools's tweet image. 【#BigQuery による自社データ処理事例🧱】

✅プロダクト基盤を3フェーズに分離し工数削減✂️
✅ビジネスデータも蓄積可能に💻
✅Lookerと連携し信頼できる唯一の情報源に✨

株式会社ヤプリのアプリ運用の裏側はこちら👇
findy-tools.io/products/bigqu…

BigQuery Data Transfer で Salesforce からの差分転送が Preview 公開。これまでは全量転送のみだった。Append か Upsert を選択可能。最小15分間隔で転送ジョブをセット可能 #GoogleCloud #BigQuery #Salesforce docs.cloud.google.com/bigquery/docs/…


Are your #Meta ads stuck in learning? 🤯 Pixel alone drops 40–60% of conversions. Fix: add server-side CAPI for real signals, better ROAS & scale 👉 alexignatenko.com/post/how-serve… #ga4 #bigquery #analytics #gtm

auignatenko's tweet image. Are your #Meta ads stuck in learning? 🤯 

Pixel alone drops 40–60% of conversions. 

Fix: add server-side CAPI for real signals, better ROAS & scale 👉 alexignatenko.com/post/how-serve…

#ga4 #bigquery #analytics #gtm

BigQuery just launched AI functions! 🚀 Integrate Gen AI directly into SQL for deep insights from text/images, without complex LLM setup. New functions: AI.IF: Semantic filtering. AI.CLASSIFY: Data categorization. AI.SCORE: Natural language ranking. #BigQuery

aviatocons's tweet image. BigQuery just launched AI functions! 🚀

Integrate Gen AI directly into SQL for deep insights from text/images, without complex LLM setup. 

New functions:
AI.IF: Semantic filtering.
AI.CLASSIFY: Data categorization.
AI.SCORE: Natural language ranking.

#BigQuery

#BigQuery で大規模EC分析基盤を構築 】 240万ショップのデータ分析を支える基盤リアル📊 数十分→数秒のクエリ高速化を実現 ✅ サーバーレスでスモールスタート ✅ Airflowで抽出・加工を一元管理 ✅ 誰もがストレスなく分析できる環境へ ▼詳しい導入事例をチェック findy-tools.io/products/bigqu…

findy_tools's tweet image. 【 #BigQuery で大規模EC分析基盤を構築 】
240万ショップのデータ分析を支える基盤リアル📊
数十分→数秒のクエリ高速化を実現

✅ サーバーレスでスモールスタート
✅ Airflowで抽出・加工を一元管理
✅ 誰もがストレスなく分析できる環境へ

▼詳しい導入事例をチェック
findy-tools.io/products/bigqu…

🚀 #Snowflake vs #BigQuery vs #Redshift — which cloud data warehouse gives the best ROI? We break down the 3 giants across scalability, performance & cost. Make the right data-driven choice for your business. 🔗 bit.ly/47sZTG5 #DataAnalytics #Cloud

AegisSoftTech's tweet image. 🚀 #Snowflake vs #BigQuery vs #Redshift — which cloud data warehouse gives the best ROI?

We break down the 3 giants across scalability, performance & cost.

Make the right data-driven choice for your business.
🔗 bit.ly/47sZTG5

#DataAnalytics #Cloud

Grateful to Dr. Phu Tran for an insightful session on Database Fundamentals and BigQuery at BEACON Riaz Lab.Attended by clinician scientists and the data science team working under the mentorship of Dr.@IrbazRiaz #BigQuery #OncologyAI #BEACONLab #MedicalAI #DataScienceInMedicine

drhussnainsadiq's tweet image. Grateful to Dr. Phu Tran for an insightful session on Database Fundamentals and BigQuery at BEACON Riaz Lab.Attended by clinician scientists and the data science team working under the mentorship of Dr.@IrbazRiaz 
#BigQuery #OncologyAI #BEACONLab #MedicalAI #DataScienceInMedicine
drhussnainsadiq's tweet image. Grateful to Dr. Phu Tran for an insightful session on Database Fundamentals and BigQuery at BEACON Riaz Lab.Attended by clinician scientists and the data science team working under the mentorship of Dr.@IrbazRiaz 
#BigQuery #OncologyAI #BEACONLab #MedicalAI #DataScienceInMedicine

Data Exploration and Preparation with #BigQuery — Practical guide to cleaning, transforming, and analyzing data for business insights: amzn.to/4b0Ucz7 v/ @PacktDataML — 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: 🔵Leverage BigQuery to understand and prepare your data to ensure that it's…

KirkDBorne's tweet image. Data Exploration and Preparation with #BigQuery — Practical guide to cleaning, transforming, and analyzing data for business insights: amzn.to/4b0Ucz7 v/ @PacktDataML
—
𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:

🔵Leverage BigQuery to understand and prepare your data to ensure that it's…

#BigQuery now allows the usage of the GROUP BY and SELECT DISTINCT with arrays and structs! In the screenshot below I GROUP BY all session traffic source fields with using a singlestruct.

Lukaslo's tweet image. #BigQuery now allows the usage of the GROUP BY and SELECT DISTINCT with arrays and structs!

In the screenshot below I GROUP BY all session traffic source fields with using a singlestruct.

Thanks to the Search Console #BigQuery export, I have access to more than 51 million organic search keywords. The Search Console BigQuery integration allows access to more keyword data than Search Console UI ever will. . . Following are the top limitations of the Google search…

analyticsnerd's tweet image. Thanks to the Search Console #BigQuery export, I have access to more than 51 million organic search keywords. 

The Search Console BigQuery integration allows access to more keyword data than Search Console UI ever will.
.
.
Following are the top limitations of the Google search…

📢 Big announcement: we now have decoded #web3 smart contract events on our #BigQuery datasets! 🤝 @Uniswap trades 💰➡️ Token transfers and approvals ✨ and more 🚀 Our new decoded events table is live for all of our blockchain analytics datasets: cloud.google.com/application/we…

nalin's tweet image. 📢 Big announcement: we now have decoded #web3 smart contract events on our #BigQuery datasets!

🤝 @Uniswap trades
💰➡️ Token transfers and approvals
✨ and more

🚀 Our new decoded events table is live for all of our blockchain analytics datasets: cloud.google.com/application/we…

BigQueryのコンソールでなんか便利そうなもんが生えとる? #bigquery #bq_sushi

satoluxx's tweet image. BigQueryのコンソールでなんか便利そうなもんが生えとる?
#bigquery #bq_sushi

Unlock the full potential of your LLMs with Retrieval-Augmented Generation (RAG) in #BigQuery! Take a look at this example of using RAG and vector search in BigQuery to build smarter AI applications from right inside your data warehouse → goo.gle/4eS2M4Z

GoogleCloudTech's tweet image. Unlock the full potential of your LLMs with Retrieval-Augmented Generation (RAG) in #BigQuery! 

Take a look at this example of using RAG and vector search in BigQuery to build smarter AI applications from right inside your data warehouse → goo.gle/4eS2M4Z

BigQueryのGraphDBおもろいよ。 中に入っているデータがそのまま使えて、定義づけするだけだし。 ガチでGraphQL勉強すっかなぁ。 #BigQuery

satoluxx's tweet image. BigQueryのGraphDBおもろいよ。
中に入っているデータがそのまま使えて、定義づけするだけだし。
ガチでGraphQL勉強すっかなぁ。
#BigQuery

🌏📊 Earth Engine in BigQuery is now generally available, bringing advanced geospatial analytics and map visualization directly to your BigQuery workflows. Unlock insights with satellite data → bit.ly/3Hw5wcF #EarthEngine #BigQuery #Geospatial

googleearth's tweet image. 🌏📊 Earth Engine in BigQuery is now generally available, bringing advanced geospatial analytics and map visualization directly to your BigQuery workflows. Unlock insights with satellite data → bit.ly/3Hw5wcF
#EarthEngine #BigQuery #Geospatial

To take advantage of #generativeAI to build a next-gen chatbot, you need to: 1) Prep your knowledge base: Ensure information is up-to-date, consistent, and text-based 2) Set guardrails Here's how to build your own gen AI chatbot directly from #BigQuerygoo.gle/4fCf7JE

GoogleCloudTech's tweet image. To take advantage of #generativeAI to build a next-gen chatbot, you need to:
1) Prep your knowledge base: Ensure information is up-to-date, consistent, and text-based
2) Set guardrails

Here's how to build your own gen AI chatbot directly from #BigQuery → goo.gle/4fCf7JE

今日の #bq_sushi のデモ。 GoogleMapsのデータを使ったやつをちらみせ。 #bigquery

satoluxx's tweet image. 今日の #bq_sushi のデモ。
GoogleMapsのデータを使ったやつをちらみせ。
#bigquery

Dataplex でカラムレベルのリネージが利用可能になった。従来はテーブルレベルだったが、このアップデートにより列のレベルで、値がどこから来たか(単なる複製か、その他の依存関係か)がグラフィカルに表示できるようになった #GoogleCloud #BigQuery cloud.google.com/dataplex/docs/…

y_sugi_it's tweet image. Dataplex でカラムレベルのリネージが利用可能になった。従来はテーブルレベルだったが、このアップデートにより列のレベルで、値がどこから来たか(単なる複製か、その他の依存関係か)がグラフィカルに表示できるようになった #GoogleCloud #BigQuery

cloud.google.com/dataplex/docs/…

INJECTIVE INTEGRATES WEB3 FINANCE DATA INTO GOOGLE CLOUD BIGQUERY With this integration, the core chain data sourced from the @Injective_ network can be conveniently retrieved via @googlecloud's proprietary data-sharing platform, the Analytics Hub, and integrated into #BigQuery

Cosmos_allday's tweet image. INJECTIVE INTEGRATES WEB3 FINANCE DATA INTO GOOGLE CLOUD BIGQUERY

With this integration, the core chain data sourced from the @Injective_ network can be conveniently retrieved via @googlecloud's proprietary data-sharing platform, the Analytics Hub, and integrated into #BigQuery

Google #BigQuery added platforms to their Data Transfer Service in preview. You can now (at no additional cost in preview) connect FB Ads, Oracle, SF, SF Marketing Cloud, and Service Now directly to #BigQuery via their DTS native connector. lnkd.in/ds5d8VKk

Lukaslo's tweet image. Google #BigQuery added platforms to their Data Transfer Service in preview.

You can now (at no additional cost in preview) connect FB Ads, Oracle, SF, SF Marketing Cloud, and Service Now directly to #BigQuery via their DTS native connector.

lnkd.in/ds5d8VKk
Lukaslo's tweet image. Google #BigQuery added platforms to their Data Transfer Service in preview.

You can now (at no additional cost in preview) connect FB Ads, Oracle, SF, SF Marketing Cloud, and Service Now directly to #BigQuery via their DTS native connector.

lnkd.in/ds5d8VKk
Lukaslo's tweet image. Google #BigQuery added platforms to their Data Transfer Service in preview.

You can now (at no additional cost in preview) connect FB Ads, Oracle, SF, SF Marketing Cloud, and Service Now directly to #BigQuery via their DTS native connector.

lnkd.in/ds5d8VKk

🚀Current status: preparing a use case with #Dataform with #BigQuery on @GoogleCloudTech Dataform allows to applies SQL Workflows on BigQuery and to apply ELT pipelines. It's fully managed and integrated to BigQuery Studio. Stay tuned! 🙂

MazlumTosun3's tweet image. 🚀Current status: preparing a use case with #Dataform with #BigQuery on @GoogleCloudTech 

Dataform allows to applies SQL Workflows on BigQuery and to apply ELT pipelines.

It's fully managed and integrated to BigQuery Studio.

Stay tuned! 🙂
MazlumTosun3's tweet image. 🚀Current status: preparing a use case with #Dataform with #BigQuery on @GoogleCloudTech 

Dataform allows to applies SQL Workflows on BigQuery and to apply ELT pipelines.

It's fully managed and integrated to BigQuery Studio.

Stay tuned! 🙂

📢Recently @googlecloud announced they added #tron data sets #bigquery 🤔But what does this exactly mean? 🧵 A quick thread on this

CryptoGuyInZA's tweet image. 📢Recently @googlecloud announced they added #tron data sets #bigquery 

🤔But what does this exactly mean?

🧵 A quick thread on this

Il y a 8 ans (!!!!) je présentais mon premier talk tech à @etincelle_tls pour le meetup Toulouse Data Science. Cela faisait des mois que les supers orgas me poussaient pour que je partage mes connaissances. Il m'a fallut 6 mois pour préparer ce talk et oser. #BigQuery

aurelievache's tweet image. Il y a 8 ans (!!!!) je présentais mon premier talk tech à @etincelle_tls pour le meetup Toulouse Data Science.

Cela faisait des mois que les supers orgas me poussaient pour que je partage mes connaissances.

Il m'a fallut 6 mois pour préparer ce talk et oser.
#BigQuery
aurelievache's tweet image. Il y a 8 ans (!!!!) je présentais mon premier talk tech à @etincelle_tls pour le meetup Toulouse Data Science.

Cela faisait des mois que les supers orgas me poussaient pour que je partage mes connaissances.

Il m'a fallut 6 mois pour préparer ce talk et oser.
#BigQuery
aurelievache's tweet image. Il y a 8 ans (!!!!) je présentais mon premier talk tech à @etincelle_tls pour le meetup Toulouse Data Science.

Cela faisait des mois que les supers orgas me poussaient pour que je partage mes connaissances.

Il m'a fallut 6 mois pour préparer ce talk et oser.
#BigQuery
aurelievache's tweet image. Il y a 8 ans (!!!!) je présentais mon premier talk tech à @etincelle_tls pour le meetup Toulouse Data Science.

Cela faisait des mois que les supers orgas me poussaient pour que je partage mes connaissances.

Il m'a fallut 6 mois pour préparer ce talk et oser.
#BigQuery

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